Effortless data labeling with AI support from Segment Anything and other awesome models.
GPL-3.0 License
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Published by CVHub520 20 days ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | d8d33f16e5afae68b410ad331c98d2da |
X-Anylabeling-Linux-CPU | 1e6746f82e095dcc22d51b11594adc96 |
[!NOTE]
For GPU acceleration and the macOS version, please consult the guide at this link.
To use the video tracking feature with segment-anything-2, refer to the same document.
Add support for YOLO11 Det/OBB/Pose/Seg/Track models
Full Changelog: https://github.com/CVHub520/X-AnyLabeling/compare/v2.4.3...v2.4.4
Coming soon...
Published by CVHub520 about 1 month ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 870548a8ef4310f811ec205ab625cdef |
X-Anylabeling-Linux-CPU | 2df31af95c868640afc199772cbbf6d6 |
[!NOTE]
For GPU acceleration and the macOS version, please consult the guide at this link.
To use the video tracking feature with segment-anything-2, refer to the same document.
Full Changelog: https://github.com/CVHub520/X-AnyLabeling/compare/v2.4.1...v2.4.2
Published by CVHub520 about 2 months ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 99aafdfef8367fbe306425edae2745eb |
X-Anylabeling-Linux-CPU | 4c6358c7b6d1c0c3596b4c54e8ed6745 |
[!NOTE]
To utilize GPU acceleration or the macOS version, refer to the guide at this.
Full Changelog: https://github.com/CVHub520/X-AnyLabeling/compare/v2.4.0...v2.4.1
Published by CVHub520 3 months ago
Coming soon...
Published by CVHub520 5 months ago
Task | Model |
---|---|
Image Classification | ResNet50, InternImage, YOLOv5-cls, YOLOv8-cls, PULC Person/Vehicle Attribute |
Object Detection | YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, 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 |
Published by CVHub520 5 months ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | e1116910bf307c1eeee4cfb2e23cad99 |
X-AnyLabeling-GPU.exe | c42b79aad0c77526fa0e155ad4f2b13c |
X-Anylabeling-Linux-CPU | b19c67157a971ddc7d6e3b69ca53d9c7 |
X-Anylabeling-Linux-GPU | e5cfa26a75c1b77b50197bbc8b708087 |
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.
Task | Model |
---|---|
Image Classification | ResNet50, InternImage, YOLOv5-cls, YOLOv8-cls, PULC Person/Vehicle Attribute |
Object Detection | YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, 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 |
Published by CVHub520 7 months ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 960a981d31231a6cc2af1a5ca108e1cb |
X-AnyLabeling-GPU.exe | fc8aaf1ff6133b0edc0a38b6553bf04a |
X-Anylabeling-Linux-CPU | cb69ed2b1e5e8c4daf273853631e7a5d |
X-Anylabeling-Linux-GPU | 7509bfcbc1ef7c85bdaf152c14030072 |
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.
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 |
Published by CVHub520 7 months ago
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.
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 |
Published by CVHub520 8 months ago
Published by CVHub520 8 months ago
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.
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 |
Published by CVHub520 9 months ago
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.
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 |
Published by CVHub520 9 months ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | 3da52237ca1946ee4afc5414bfda90b3 |
X-AnyLabeling-GPU.exe | fac1456ea9d2ae3e6d56bd91f9ed0189 |
X-Anylabeling-Linux-CPU | 0278e8c901215cca929a14353ea2da0c |
X-Anylabeling-Linux-GPU | 1942d94c488b142baaa1774b9a7dee82 |
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.
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 |
Published by CVHub520 10 months ago
Version | MD5 |
---|---|
X-AnyLabeling-CPU.exe | cd2e2ce3987f7fd337167c17a90d088f |
X-AnyLabeling-GPU.exe | 987509ca06141306a50c2b13deb34857 |
X-Anylabeling-Linux-CPU | 7e1920bacfad195901f1a314ae995cdc |
X-Anylabeling-Linux-GPU | f26d7fb3b8e078b731325c9c525c8908 |
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.
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 |
Instance Segmentation | YOLOv5-seg, YOLOv8-seg |
Keypoint Detection | DWPose, YOLOv6-face, YOLOv8-pose |
Oriented Object Detection | YOLOv5_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 |
Published by CVHub520 11 months ago
Published by CVHub520 11 months ago
Published by CVHub520 12 months ago
keep_prev_brightness
and keep_prev_contrast
. (#104 )Published by CVHub520 12 months ago
Published by CVHub520 about 1 year ago
Published by CVHub520 about 1 year ago