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X-AnyLabeling v2.3.2

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@CVHub520 CVHub520 released this 24 Feb 06:05
· 283 commits to main since this release

Released versions

Version MD5
X-AnyLabeling-CPU.exe f160d30964476d8f7c9950849ae102c0
X-AnyLabeling-GPU.exe 6ce8c22bd847082bb383145691eb1ea3
X-Anylabeling-Linux-CPU 27e0f94cdc34eb341c108f3ea7633778
X-Anylabeling-Linux-GPU 32c07d19bfeb7aaf09a7c1f4786b6b7b

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
Depth Estimation Depth Anything

Important Updates

  • ✨✨✨ Support YOLOv9 model.
  • ✅ Support the conversion from a horizontal bounding box to a rotated bounding box.
  • ✅ Supports label deletion and renaming. For more details, please refer to the document.
  • ✅ Support for quick tag correction is available; please refer to this document for guidance.