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Releases: CVHub520/X-AnyLabeling

X-AnyLabeling v2.3.3

27 Feb 12:54
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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

24 Feb 06:05
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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

31 Jan 17:00
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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

13 Jan 02:03
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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

26 Dec 12:49
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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

24 Nov 04:39
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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]

X-AnyLabeling v2.0.0

13 Nov 08:54
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New versions

  • X-AnyLabeling-CPU.exe [md5 | 23d042d22a0a1907c2cc9f19ecdc7657]
  • X-AnyLabeling-GPU.exe [md5 | af8ec0ae720a24cc608090429bc9492d]
  • X-Anylabeling-Linux-CPU [md5 | 8937539d2b073e66654cf3ebdce9c784]
  • X-Anylabeling-Linux-GPU [md5 | 035fe58c13a15387ebb77f3066173a45]

New feature

  • 🤗🤗🤗 Release the latest version 2.0.0.
  • 🔥🔥🔥 Added support for Grounding-SAM, combining GroundingDINO with HQ-SAM to achieve sota zero-shot high-quality predictions!
  • 🚀🚀🚀 Enhanced support for HQ-SAM model to achieve high-quality mask predictions.
  • 🙌🙌🙌 Support the PersonAttribute and VehicleAttribute model for multi-label classification task.
  • 🆕🆕🆕 Introducing a new multi-label attribute annotation functionality.

X-AnyLabeling v1.1.0

06 Nov 14:09
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New versions

  • X-AnyLabeling-CPU.exe [md5 | d6c309095c260df5845fdd66d7a9039f]
  • X-AnyLabeling-GPU.exe [md5 | d6ddd6f28b69a077555b21ea90fa15c1]
  • X-Anylabeling-Linux-CPU [md5 | 68dff2464337bcfa3a14bcb36567343e]
  • X-Anylabeling-Linux-GPU [md5 | 81785eb64605003d4bdf9934c98e97c4]

New feature

  • Support pose estimation: YOLOv8-Pose. (#103 )
  • Support object-level tag with yolov5_ram.
  • Add the capability to adjust keep_prev_brightness and keep_prev_contrast. (#104 )
  • Add a new feature enabling batch labeling for arbitrary unknown categories based on Grounding-DINO.

X-AnyLabeling v1.0.0

25 Oct 16:24
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New versions

  • X-AnyLabeling-CPU.exe [md5 | 1831f151c9140b9b126626094b6cd160]
  • X-AnyLabeling-GPU.exe [md5 | adefc07059626ad3fc86f1e0b2be70a4]
  • X-Anylabeling-Linux-CPU [md5 | 6f14401502fa19e9917a6dc44517df06]
  • X-Anylabeling-Linux-GPU [md5 | b39f74af52b95b6f24020e8c9d26bab5]

New feature

X-AnyLabeling v0.3.0

10 Oct 07:02
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New versions

  • X-AnyLabeling-CPU.exe [md5 | 51b9f97d1ed8becc08fe41af57d18784]
  • X-AnyLabeling-GPU.exe [md5 | d6c84254e0c369ee78afba13e957ae76]
  • X-Anylabeling-Linux-CPU [md5 | a285be02dbb97290c1193ddd8c6cf701]
  • X-Anylabeling-Linux-GPU [md5 | feb29f0b7843c29553cd256edb6ef0d1]

New feature