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X-AnyLabeling v2.3.4

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@CVHub520 CVHub520 released this 16 Mar 05:59
· 257 commits to main since this release

Released versions

Version MD5
X-AnyLabeling-CPU.exe dee1df2f1cd1863d621fc2f4fe97017f
X-AnyLabeling-GPU.exe 642bcca37562f77885d8d6df373e78ab
X-Anylabeling-Linux-CPU 02c93aa107858a722a26aecc9aa081c9
X-Anylabeling-Linux-GPU 6a8388edff8dd4805262b5e516c47ea2

Note: The GPU version mentioned above is compiled based on CUDA 11.6. Different versions may result in issues with xxx functionality. It is recommended to consider running the application using the source code, especially if compatibility issues arise.

Supported models

Task Model
Image Classification ResNet50, InternImage, YOLOv5-cls, YOLOv8-cls, PULC Person/Vehicle Attribute
Object Detection YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOX, YOLO-NAS, DAMO_YOLO, GOLD_YOLO, RT-DETR, RTMDet
Instance Segmentation YOLOv5-seg, YOLOv8-seg
Keypoint Detection RTMPose, DWPose, YOLOv6-face, YOLOv8-pose
Oriented Object Detection YOLOv5_obb, YOLOv8_obb
Multi-Object Tracking OC-Sort, ByteTrack
Segment Anything SAM, SAM-HQ, EdgeSAM, MobileSAM, EfficientViT-SAM, Med-SAM2D
Optical Character Recognition PPOCRv4
Land Detection CLRNet
Image Captioning RAM
Visual Language Model Grounding-DINO, Chinese-CLIP, YOLO-World
Depth Estimation Depth Anything

Important Updates

  • ✨✨✨ Support YOLO-World model.
  • ✅ Enable label display feature.