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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>MaxCLIP Competition</title>
<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/4.1.1/animate.min.css" />
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<link rel="stylesheet" href="styles.css">
</head>
<body class="antialiased leading-normal tracking-normal text-gray-300">
<!-- background blobs -->
<div class="blob"></div>
<div class="blob"></div>
<div class="blob"></div>
<nav class="navbar animate__animated animate__fadeInDown">
<div class="container mx-auto px-4 py-2 flex justify-between items-center">
<a class="brand-text text-2xl font-bold text-white-custom flex items-center" href="index.html">
<img src="images/logo_transparent.png" alt="" class="h-10 mr-2"> MaxCLIP
</a>
<div class="hidden lg:flex space-x-4">
<a class="navbar-link" href="index.html">Home</a>
<a class="navbar-link" href="competition.html">Competition</a>
<a class="navbar-link" href="leaderboard.html">Leaderboard</a>
<a class="navbar-link" href="participate.html">Participate</a>
<a class="navbar-link" href="about.html">About</a>
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<button class="lg:hidden" id="navbarToggle">
<svg xmlns="http://www.w3.org/2000/svg" class="h-6 w-6 text-white" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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</svg>
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<div id="mobileMenu" class="lg:hidden flex flex-col mt-4 space-y-2">
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<a class="mobile-menu-item" href="about.html">About</a>
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</div>
</nav>
<div class="container mx-auto px-4 py-6 animate__animated animate__fadeInUp">
<div class="bg-white p-6 rounded-lg shadow-lg">
<h1 class="text-3xl font-bold mb-4 text-center text-black">Leaderboard</h1>
<p class="text-lg mb-6 text-center text-black">
Below is the leaderboard for our competition, including our baseline <a href="https://arxiv.org/abs/2407.01445" class="text-blue-500 hover:underline">FastCLIP</a>.
</p>
<!-- Tabs for Constrained and Unconstrained -->
<center>
<div class="mb-4">
<button id="unconstrainedTab" class="px-4 py-2 bg-blue-500 text-white rounded" onclick="showTable('unconstrained')">Unconstrained</button>
<button id="constrainedTab" class="px-4 py-2 bg-gray-300 text-black rounded ml-2" onclick="showTable('constrained')">Constrained</button>
</div>
</center>
<!-- Constrained Table -->
<div id="constrainedTable" class="overflow-x-auto hidden">
<center>
<div class="mb-4">
<button id="smallTab" class="px-4 py-2 bg-blue-500 text-white rounded ml-2" onclick="showSubTable('small')">Small</button>
<button id="mediumTab" class="px-4 py-2 bg-gray-300 text-black rounded ml-2" onclick="showSubTable('medium')">Medium</button>
<button id="largeTab" class="px-4 py-2 bg-gray-300 text-black rounded ml-2" onclick="showSubTable('large')">Large</button>
</div>
</center>
<!-- Small Table -->
<div id="smallTable" class="overflow-x-auto">
<table id="smallLeaderboardTable" class="display w-full text-left text-black">
<thead>
<tr>
<th>Name</th>
<th>DataComp Average</th>
<th>ImageNet Zero-Shot Accuracy</th>
<th>Organization</th>
<th>Submission Date</th>
<th>Writeup</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
<!-- Medium Table -->
<div id="mediumTable" class="overflow-x-auto hidden">
<table id="mediumLeaderboardTable" class="display w-full text-left text-black">
<thead>
<tr>
<th>Name</th>
<th>DataComp Average</th>
<th>ImageNet Zero-Shot Accuracy</th>
<th>Organization</th>
<th>Submission Date</th>
<th>Writeup</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
<!-- Large Table -->
<div id="largeTable" class="overflow-x-auto hidden">
<table id="largeLeaderboardTable" class="display w-full text-left text-black">
<thead>
<tr>
<th>Name</th>
<th>DataComp Average</th>
<th>ImageNet Zero-Shot Accuracy</th>
<th>Organization</th>
<th>Submission Date</th>
<th>Writeup</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
</div>
<!-- Unconstrained Table -->
<div id="unconstrainedTable" class="overflow-x-auto">
<center>
<div class="mb-4">
<button id="mediumTabUnconstrained" class="px-4 py-2 bg-gray-300 text-black rounded ml-2" onclick="showSubTable('mediumUnconstrained')">Medium</button>
<button id="largeTabUnconstrained" class="px-4 py-2 bg-gray-300 text-black rounded ml-2" onclick="showSubTable('largeUnconstrained')">Large</button>
<button id="smallTabUnconstrained" class="px-4 py-2 bg-gray-300 text-black rounded ml-2" onclick="showSubTable('smallUnconstrained')">xLarge</button>
</div>
</center>
<!-- xLarge Table (Unconstrained) -->
<!-- TODO change small to xlarge -->
<div id="smallTableUnconstrained" class="overflow-x-auto">
<table id="smallLeaderboardTableUnconstrained" class="display w-full text-left text-black">
<thead>
<tr>
<th>Name</th>
<th>Model</th>
<th># Params (M)</th>
<th>Resolution</th>
<th>Dataset</th>
<th>Dataset Size (B)</th>
<th>Batch Size (K)</th>
<th>Samples Seen (B)</th>
<th>ImageNet-1K Top 1</th>
<th>DataComp Average</th>
<th>Weights</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://arxiv.org/abs/2303.15389">EVA-CLIP</a></td>
<td>ViT-E/14</td>
<td>5045</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>144</td>
<td>9</td>
<td>81.97</td>
<td>69.30</td>
<td><a href="https://huggingface.co/timm/eva02_enormous_patch14_plus_clip_224.laion2b_s9b_b144k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2303.15389">EVA-CLIP</a></td>
<td>ViT-E/14</td>
<td>4705</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>115</td>
<td>4</td>
<td>81.96</td>
<td>66.66</td>
<td><a href="https://huggingface.co/timm/eva02_enormous_patch14_clip_224.laion2b_s4b_b115k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ViT-bigG/14</td>
<td>2540</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>160</td>
<td>36</td>
<td>80.08</td>
<td>66.65</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-bigG-14-laion2B-39B-b160k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://proceedings.neurips.cc/paper_files/paper/2023/hash/996e2b446391fcb8bf32a3d1645cc799-Abstract-Conference.html">CLIPA</a></td>
<td>ViT-bigG/14</td>
<td>2518</td>
<td>336</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>64</td>
<td>13.4</td>
<td>83.07</td>
<td>68.44</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-bigG-14-CLIPA-336-datacomp1B">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://proceedings.neurips.cc/paper_files/paper/2023/hash/996e2b446391fcb8bf32a3d1645cc799-Abstract-Conference.html">CLIPA</a></td>
<td>ViT-bigG/14</td>
<td>2517</td>
<td>224</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>64</td>
<td>13.3</td>
<td>82.67</td>
<td>68.26</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ViT-g/14</td>
<td>1367</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>86.7</td>
<td>34.5</td>
<td>78.48</td>
<td>64.26</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-g-14-laion2B-s34B-b88K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ViT-g/14</td>
<td>1367</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>42</td>
<td>13</td>
<td>76.66</td>
<td>62.87</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-g-14-laion2B-s12B-b42K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2303.15389">EVA-CLIP</a></td>
<td>ViT-g/14</td>
<td>1367</td>
<td>224</td>
<td>Merged-2B</td>
<td>2</td>
<td>114</td>
<td>11</td>
<td>79.32</td>
<td>66.05</td>
<td><a href="https://huggingface.co/timm/eva_giant_patch14_plus_clip_224.merged2b_s11b_b114k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ConvNeXt-XXL</td>
<td>1201</td>
<td>256</td>
<td>LAION-2B</td>
<td>2</td>
<td>82</td>
<td>34</td>
<td>79.46</td>
<td>65.11</td>
<td><a href="https://huggingface.co/laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ConvNeXt-XXL</td>
<td>1201</td>
<td>256</td>
<td>LAION-2B</td>
<td>2</td>
<td>82</td>
<td>34</td>
<td>79.32</td>
<td>64.96</td>
<td><a href="https://huggingface.co/laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ConvNeXt-XXL</td>
<td>1201</td>
<td>256</td>
<td>LAION-2B</td>
<td>2</td>
<td>82</td>
<td>34</td>
<td>79.07</td>
<td>64.93</td>
<td><a href="https://huggingface.co/laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ViT-H/14</td>
<td>1193</td>
<td>224</td>
<td>LAION-5B</td>
<td>5</td>
<td>90</td>
<td>13</td>
<td>76.97</td>
<td>65.15</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-H-14-frozen-xlm-roberta-large-laion5B-s13B-b90k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2303.15389">EVA-CLIP</a></td>
<td>ViT-g/14</td>
<td>1136</td>
<td>224</td>
<td>LAION-400M</td>
<td>0.4</td>
<td>41</td>
<td>11</td>
<td>78.52</td>
<td>63.39</td>
<td><a href="https://huggingface.co/timm/eva_giant_patch14_clip_224.laion400m_s11b_b41k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=KAk6ngZ09F">DFN</a></td>
<td>ViT-H/14</td>
<td>987</td>
<td>378</td>
<td>DFN-5B</td>
<td>5</td>
<td>78</td>
<td>44</td>
<td>84.35</td>
<td>70.79</td>
<td><a href="https://huggingface.co/apple/DFN5B-CLIP-ViT-H-14-378">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=KAk6ngZ09F">DFN</a></td>
<td>ViT-H/14</td>
<td>986</td>
<td>224</td>
<td>DFN-5B</td>
<td>5</td>
<td>78</td>
<td>39</td>
<td>83.43</td>
<td>69.62</td>
<td><a href="https://huggingface.co/immich-app/ViT-H-14-quickgelu__dfn5b">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=5BCFlnfE1g">MetaCLIP</a></td>
<td>ViT-H/14</td>
<td>986</td>
<td>224</td>
<td>MetaCLIP-2.5B</td>
<td>2.5</td>
<td>32</td>
<td>12.8</td>
<td>80.53</td>
<td>66.72</td>
<td><a href="https://dl.fbaipublicfiles.com/MMPT/metaclip/h14_fullcc2.5b.pt">Meta</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ViT-H/14</td>
<td>986</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>77.25</td>
<td>34</td>
<td>77.92</td>
<td>64.02</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://proceedings.neurips.cc/paper_files/paper/2023/hash/996e2b446391fcb8bf32a3d1645cc799-Abstract-Conference.html">CLIPA</a></td>
<td>ViT-H/14</td>
<td>969</td>
<td>336</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>64</td>
<td>13.4</td>
<td>81.81</td>
<td>66.77</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-H-14-CLIPA-336-datacomp1B">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://proceedings.neurips.cc/paper_files/paper/2023/hash/996e2b446391fcb8bf32a3d1645cc799-Abstract-Conference.html">CLIPA</a></td>
<td>ViT-H/14</td>
<td>969</td>
<td>336</td>
<td>LAION-2B</td>
<td>2</td>
<td>64</td>
<td>13.4</td>
<td>79.10</td>
<td>64.39</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-H-14-CLIPA-336-laion2B">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://proceedings.neurips.cc/paper_files/paper/2023/hash/996e2b446391fcb8bf32a3d1645cc799-Abstract-Conference.html">CLIPA</a></td>
<td>ViT-H/14</td>
<td>968</td>
<td>224</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>64</td>
<td>13.3</td>
<td>81.50</td>
<td>66.53</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-H-14-CLIPA-datacomp1B">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-XL</td>
<td>925</td>
<td>336</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>41</td>
<td>82.67</td>
<td>68.12</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-XL-336px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-XL</td>
<td>925</td>
<td>256</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>40</td>
<td>82.25</td>
<td>67.66</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-XL-256px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-XL</td>
<td>925</td>
<td>384</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>41</td>
<td>81.39</td>
<td>66.38</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-XL-384px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-SO400M/14</td>
<td>878</td>
<td>384</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>45</td>
<td>83.09</td>
<td>69.21</td>
<td><a href="https://huggingface.co/timm/ViT-SO400M-14-SigLIP-384">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-SO400M/14</td>
<td>877</td>
<td>256</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>40</td>
<td>82.04</td>
<td>68.07</td>
<td><a href="https://huggingface.co/timm/ViT-SO400M-14-SigLIP">Huggingface</a></td>
</tr>
</tbody>
</table>
</div>
<!-- Medium Table -->
<div id="mediumTableUnconstrained" class="overflow-x-auto hidden">
<table id="mediumLeaderboardTableUnconstrained" class="display w-full text-left text-black">
<thead>
<tr>
<th>Name</th>
<th>Model</th>
<th># Params (M)</th>
<th>Resolution</th>
<th>Dataset</th>
<th>Dataset Size (B)</th>
<th>Batch Size (K)</th>
<th>Samples Seen (B)</th>
<th>ImageNet-1K Top 1</th>
<th>DataComp Average</th>
<th>Weights</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-B/16</td>
<td>371</td>
<td>256</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>40</td>
<td>75.11</td>
<td>60.68</td>
<td><a href="https://huggingface.co/timm/ViT-B-16-SigLIP-i18n-256">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ConvNeXt-L</td>
<td>352</td>
<td>320</td>
<td>LAION-2B</td>
<td>2</td>
<td>131</td>
<td>28.5</td>
<td>76.83</td>
<td>63.87</td>
<td><a href="https://huggingface.co/laion/CLIP-convnext_large_d.laion2B-s26B-b102K-augreg">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ConvNeXt-L</td>
<td>352</td>
<td>320</td>
<td>LAION-2B</td>
<td>2</td>
<td>131</td>
<td>28.5</td>
<td>76.60</td>
<td>63.45</td>
<td><a href="https://huggingface.co/laion/CLIP-convnext_large_d.laion2B-s26B-b102K-augreg">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ConvNeXt-L</td>
<td>352</td>
<td>256</td>
<td>LAION-2B</td>
<td>2</td>
<td>102</td>
<td>26</td>
<td>75.92</td>
<td>62.95</td>
<td><a href="https://huggingface.co/laion/CLIP-convnext_large_d.laion2B-s26B-b102K-augreg">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-B/16</td>
<td>204</td>
<td>512</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>45</td>
<td>79.13</td>
<td>64.59</td>
<td><a href="https://huggingface.co/timm/ViT-B-16-SigLIP-512">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-B/16</td>
<td>203</td>
<td>384</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>45</td>
<td>78.48</td>
<td>63.79</td>
<td><a href="https://huggingface.co/timm/ViT-B-16-SigLIP-384">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-B/16</td>
<td>203</td>
<td>256</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>40</td>
<td>76.53</td>
<td>62.26</td>
<td><a href="https://huggingface.co/timm/ViT-B-16-SigLIP-256">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-B/16</td>
<td>203</td>
<td>224</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>40</td>
<td>76.04</td>
<td>62.33</td>
<td><a href="https://huggingface.co/timm/ViT-B-16-SigLIP">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Vasu_MobileCLIP_Fast_Image-Text_Models_through_Multi-Modal_Reinforced_Training_CVPR_2024_paper.html">MobileCLIP</a></td>
<td>ViT-B/16</td>
<td>150</td>
<td>224</td>
<td>DatacompDR</td>
<td>1.4</td>
<td>64</td>
<td>39</td>
<td>77.18</td>
<td>65.22</td>
<td><a href="https://huggingface.co/apple/MobileCLIP-B-LT-OpenCLIP">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Vasu_MobileCLIP_Fast_Image-Text_Models_through_Multi-Modal_Reinforced_Training_CVPR_2024_paper.html">MobileCLIP</a></td>
<td>ViT-B/16</td>
<td>150</td>
<td>224</td>
<td>DatacompDR</td>
<td>1.4</td>
<td>64</td>
<td>13</td>
<td>76.83</td>
<td>65.03</td>
<td><a href="https://huggingface.co/apple/MobileCLIP-B-OpenCLIP">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=KAk6ngZ09F">DFN</a></td>
<td>ViT-B/16</td>
<td>150</td>
<td>224</td>
<td>DFN-2B</td>
<td>2</td>
<td>78</td>
<td>12.8</td>
<td>76.23</td>
<td>60.75</td>
<td><a href="https://huggingface.co/apple/DFN2B-CLIP-ViT-B-16">Huggingface</a></td>
</tr>
</tbody>
</table>
</div>
<!-- Large Table -->
<div id="largeTableUnconstrained" class="overflow-x-auto hidden">
<table id="largeLeaderboardTableUnconstrained" class="display w-full text-left text-black">
<thead>
<tr>
<th>Name</th>
<th>Model</th>
<th># Params (M)</th>
<th>Resolution</th>
<th>Dataset</th>
<th>Dataset Size (B)</th>
<th>Batch Size (K)</th>
<th>Samples Seen (B)</th>
<th>ImageNet-1K Top 1</th>
<th>DataComp Average</th>
<th>Weights</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-L2</td>
<td>688</td>
<td>384</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13.3</td>
<td>82.05</td>
<td>67.97</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L2-384px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-L2</td>
<td>688</td>
<td>336</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13.3</td>
<td>81.80</td>
<td>67.72</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L2-336px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">VITamin</a></td>
<td>ViTamin-L2</td>
<td>688</td>
<td>256</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13.3</td>
<td>81.43</td>
<td>67.20</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L2-256px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-L2</td>
<td>688</td>
<td>224</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>12.8</td>
<td>80.89</td>
<td>67.39</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L2-224px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-L/16</td>
<td>652</td>
<td>384</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>45</td>
<td>82.10</td>
<td>66.83</td>
<td><a href="https://huggingface.co/timm/ViT-L-16-SigLIP-384">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/ICCV2023/html/Zhai_Sigmoid_Loss_for_Language_Image_Pre-Training_ICCV_2023_paper.html">SigLIP</a></td>
<td>ViT-L/16</td>
<td>652</td>
<td>256</td>
<td>WebLI</td>
<td>10</td>
<td>32</td>
<td>40</td>
<td>80.43</td>
<td>65.56</td>
<td><a href="https://huggingface.co/timm/ViT-L-16-SigLIP-256">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-L</td>
<td>457</td>
<td>384</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13</td>
<td>81.83</td>
<td>67.12</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L-384px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">VITamin</a></td>
<td>ViTamin-L</td>
<td>457</td>
<td>336</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13</td>
<td>81.60</td>
<td>66.88</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L-336px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-L</td>
<td>457</td>
<td>256</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13</td>
<td>81.19</td>
<td>66.91</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L-256px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2024/html/Chen_ViTamin_Designing_Scalable_Vision_Models_in_the_Vision-Language_Era_CVPR_2024_paper.html">ViTamin</a></td>
<td>ViTamin-L</td>
<td>457</td>
<td>224</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>12.8</td>
<td>80.77</td>
<td>66.59</td>
<td><a href="https://huggingface.co/jienengchen/ViTamin-L-224px">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=Ee277P3AYC">CoCa (OpenCLIP)</a></td>
<td>ViT-L/14</td>
<td>430</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>90</td>
<td>13</td>
<td>75.64</td>
<td>62.88</td>
<td><a href="https://huggingface.co/laion/CoCa-ViT-L-14-laion2B-s13B-b90k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2303.15389">EVA-CLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>336</td>
<td>Merged-2B</td>
<td>2</td>
<td>61</td>
<td>6</td>
<td>80.37</td>
<td>65.61</td>
<td><a href="https://huggingface.co/timm/eva02_large_patch14_clip_336.merged2b_s6b_b61k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://proceedings.mlr.press/v139/radford21a">OpenAI CLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>336</td>
<td>WIT</td>
<td>0.4</td>
<td>32</td>
<td>13.2</td>
<td>76.56</td>
<td>62.76</td>
<td><a href="https://openaipublic.azureedge.net/clip/models/3035c92b350959924f9f00213499208652fc7ea050643e8b385c2dac08641f02/ViT-L-14-336px.pt">OpenAI</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2303.15389">EVA-CLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>Merged-2B</td>
<td>2</td>
<td>131</td>
<td>4</td>
<td>79.78</td>
<td>64.76</td>
<td><a href="https://huggingface.co/timm/eva02_large_patch14_clip_224.merged2b_s4b_b131k">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=KAk6ngZ09F">DFN</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>DFN-2B</td>
<td>2</td>
<td>88</td>
<td>12.8</td>
<td>81.41</td>
<td>66.65</td>
<td><a href="https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=dVaWCDMBof">DataComp</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>90</td>
<td>13</td>
<td>79.21</td>
<td>66.28</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-L-14-DataComp.XL-s13B-b90K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=5BCFlnfE1g">MetaCLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>MetaCLIP-2.5B</td>
<td>2.5</td>
<td>32</td>
<td>12.8</td>
<td>79.17</td>
<td>65.92</td>
<td><a href="https://dl.fbaipublicfiles.com/MMPT/metaclip/l14_fullcc2.5b.pt">Meta</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=dVaWCDMBof">DataComp</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>CommonPool (CLIP Score filtering)</td>
<td>3.8</td>
<td>90</td>
<td>13</td>
<td>76.39</td>
<td>64.80</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-L-14-CommonPool.XL.clip-s13B-b90K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=5BCFlnfE1g">MetaCLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>MetaCLIP-400M</td>
<td>0.4</td>
<td>32</td>
<td>12.8</td>
<td>76.17</td>
<td>62.55</td>
<td><a href="https://dl.fbaipublicfiles.com/MMPT/metaclip/l14_400m.pt">Meta</a></td>
</tr>
<tr>
<td><a href="https://proceedings.mlr.press/v139/radford21a">OpenAI CLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>WIT</td>
<td>0.4</td>
<td>32</td>
<td>12.8</td>
<td>75.56</td>
<td>61.62</td>
<td><a href="https://openaipublic.azureedge.net/clip/models/b8cca3fd41ae0c99ba7e8951adf17d267cdb84cd88be6f7c2e0eca1737a03836/ViT-L-14.pt">OpenAI</a></td>
</tr>
<tr>
<td><a href="https://openreview.net/forum?id=dVaWCDMBof">DataComp</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>CommonPool (LAION-2B filtering)</td>
<td>1.3</td>
<td>90</td>
<td>13</td>
<td>75.49</td>
<td>63.56</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-L-14-CommonPool.XL.laion-s13B-b90K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper">OpenCLIP</a></td>
<td>ViT-L/14</td>
<td>428</td>
<td>224</td>
<td>LAION-2B</td>
<td>2</td>
<td>82</td>
<td>32</td>
<td>75.23</td>
<td>61.89</td>
<td><a href="https://huggingface.co/laion/CLIP-ViT-L-14-laion2B-s32B-b82K">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2306.15658">CLIPA-v2</a></td>
<td>ViT-L/14</td>
<td>415</td>
<td>336</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>64</td>
<td>13.4</td>
<td>80.27</td>
<td>65.69</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-L-14-CLIPA-336-datacomp1B">Huggingface</a></td>
</tr>
<tr>
<td><a href="https://arxiv.org/abs/2306.15658">CLIPA-v2</a></td>
<td>ViT-L/14</td>
<td>414</td>
<td>224</td>
<td>Datacomp-1B</td>
<td>1.4</td>
<td>64</td>
<td>13.3</td>
<td>79.60</td>
<td>65.35</td>
<td><a href="https://huggingface.co/UCSC-VLAA/ViT-L-14-CLIPA-336-datacomp1B">Huggingface</a></td>
</tr>
</tbody>
</table>
</div>
</div>
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