Imagenet-s dataset for large-scale semantic segmentation #2480
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MeowZheng
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Jan 13, 2023
MengzhangLI
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Jan 14, 2023
Codecov ReportBase: 88.95% // Head: 88.33% // Decreases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## master #2480 +/- ##
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- Coverage 88.95% 88.33% -0.63%
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Files 146 147 +1
Lines 8753 8844 +91
Branches 1474 1490 +16
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+ Hits 7786 7812 +26
- Misses 725 790 +65
Partials 242 242
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huajiangjiangLi
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Apr 12, 2023
…2480) Based on the ImageNet dataset, we propose the ImageNet-S dataset has 1.2 million training images and 50k high-quality semantic segmentation annotations to support unsupervised/semi-supervised semantic segmentation on the ImageNet dataset. paper: Large-scale Unsupervised Semantic Segmentation (TPAMI 2022) [Paper link](https://arxiv.org/abs/2106.03149) 1. Support imagenet-s dataset and its' configuration 2. Add the dataset preparation in the documentation
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