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X-AnyLabeling v2.3.1

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@CVHub520 CVHub520 released this 31 Jan 17:00
· 312 commits to main since this release

Released versions

Version MD5
X-AnyLabeling-CPU.exe 73e5d39cb23df58004b2c795f54e88b9
X-AnyLabeling-GPU.exe 745dc17bf9996a0b5f8e00e3ffe5f7df
X-Anylabeling-Linux-CPU f1d1390906c1081aa5ad9aec6605f062
X-Anylabeling-Linux-GPU c281893cfc2e61081fdbf8bb6b20ef96

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, 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 save cropped rectangle shapes.
  • ✅ Combining CLIP and SAM models for enhanced semantic and spatial understanding. An example can be found here.
  • ✅ Adding support for the Depth Anything model in the depth estimation task.