Releases: CVHub520/X-AnyLabeling
Releases · CVHub520/X-AnyLabeling
X-AnyLabeling v2.3.7
Supported models
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 |
X-AnyLabeling v2.3.6
Released versions
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.
Supported models
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 |
Important Updates
X-AnyLabeling v2.3.5
Released versions
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.
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
X-AnyLabeling v2.3.4
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.
X-AnyLabeling v2.3.3
Released versions
Version |
MD5 |
X-AnyLabeling-CPU.exe |
46810294c6cdf6978e8d0cb8a9561cd2 |
X-AnyLabeling-GPU.exe |
05da78ffbb076e4e7db546ff336f3f59 |
X-Anylabeling-Linux-CPU |
9168a0caa444fb294c08cb75bce782d5 |
X-Anylabeling-Linux-GPU |
4ab880f23d90323b5423baaba92a2540 |
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.
- ✅ Add expanded sub-image save feature.
- ✅ Support convert YOLO-Hbb/Obb/Seg label to custom.
- ✅ Add real-time progress bar for mask annotation uploads.
X-AnyLabeling v2.3.2
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.
X-AnyLabeling v2.3.1
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.
X-AnyLabeling v2.3.0
Released versions
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.
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 |
Important Updates
X-AnyLabeling v2.2.0
Released versions
Version |
MD5 |
X-AnyLabeling-CPU.exe |
9036a66c1badc298f3e565eed261a67e |
X-AnyLabeling-GPU.exe |
94441d8f32fdbbdd1293bae88e723b0f |
X-Anylabeling-Linux-CPU |
8bfbe8112bfd5c97a8daf02635c7fd8d |
X-Anylabeling-Linux-GPU |
10ee27a6ed960a08edb3eb37c2d8b06a |
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 |
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 |
Important Updates
- ✅ Added label background color rendering.
- ✅ In SAM annotation mode, added the ability to one-click clear point prompts.
- ✅ Extended rectangle box editing mode to four-point editing mode.
- ✅ Added support for automatically switching to editing mode when the cursor moves over an object.
- ✅ Removed confirmation dialog for object deletion.
- ✅ Implemented one-click export function for segmented mask images.
- ✅ Added one-click import and export for YOLO/VOC/COCO/DOTA/MASK/MOT labels.
- ✅ Introduced data statistics for the current task.
- ✅ Newly added functionality to hide/show selected objects, addressing layer overlap issues.
- ✅ Real-time preview of the current filename and annotation progress.
- ✅ Added support for "Difficult" label to annotate challenging samples.
- ✅ Added a bottom status bar to display real-time mouse coordinates, as well as the width and height of the selected object.
- ✅ Enabled direct modification of object text descriptions in the label editing box.
X-AnyLabeling v2.1.0
New versions
- X-AnyLabeling-CPU.exe [md5 | 46cc6fa87f1f9a2c70f989a7967d2563]
- X-AnyLabeling-GPU.exe [md5 | 3fce7a860b7761c05016195cd8a2d3ed]
- X-Anylabeling-Linux-CPU [md5 | a15e00e7d142f6c101143034d33846a3]
- X-Anylabeling-Linux-GPU [md5 | f61fcb81ed0fd2c89a20cf04510280dd]