X-AnyLabeling Releases

This is a bug fix and minor feature release for X-AnyLabeling v3.2.1. It introduces UI improvements for shape attribute visibility on the canvas and adds training log saving functionality, while also addressing various platform-specific issues including WSL2 detection, UTF-8 encoding, and Windows multiprocessing/matplotlib segfaults.

Aug 23, 2025

X-AnyLabeling v3.2.0 introduces an Auto Training Platform for Ultralytics tasks, supporting Detect, Segment, OBB, and Pose model training. This release had contributions from 1 developer.

Aug 19, 2025

X-AnyLabeling v3.1.2 is a bug-fix and enhancement release that introduces Auto Mask Decode (AMD) mode for continuous point tracking, adds new RF-DETR models (medium, small, nano), and improves group ID modification with enhanced range selection. The release also includes multiple bug fixes for drag-and-drop imports, segmentation handling, and non-ASCII path support.

Aug 16, 2025

This release focuses on performance improvements and bug fixes. It includes an optimized timestamp matching algorithm, UI/UX updates, and a specific fix for edge-tts download errors on Windows.

Aug 12, 2025

This is a minor release (v3.1.1) of X-AnyLabeling that introduces two new features for the VQA dialog and image viewing, along with a keyboard shortcut bug fix. The release had contributions from 2 developers.

Jul 5, 2025

X-AnyLabeling v3.1.0 introduces significant UI/UX enhancements including rectangle scaling with mouse wheel, custom label class uploading, and real-time preview for matting/depth tasks. This release also adds the RMBG v2.0 model for image matting, Visual Question Answering tool, and automatic update checking, while fixing several bugs related to annotation saving and model loading.

Jul 2, 2025

This is a minor release (v3.0.3) of X-AnyLabeling that introduces a Digit Shortcut Manager for quick shape creation using numeric keys and adds support for preserving existing annotations in the SegmentAnything2Video model. The release also includes performance improvements through singleton pattern conversion and several FAQ updates.

May 28, 2025

This minor release (v3.0.2) adds support for the YOLOE model enabling text/visual prompting and prompt-free grounding for detection and segmentation tasks, while also fixing a crash issue during keypoint annotation.

May 24, 2025

This release adds support for Ultralytics RT-DETR object detection models and improves label history management with new removal and addition methods. It also includes bug fixes for image data initialization and dependency requirements, along with performance optimizations for image folder imports.

May 20, 2025

X-AnyLabeling v3.0.0 is a major release introducing Visual Prompting for detection and segmentation, a new Chatbot feature for annotating multimodal datasets for Vision-Language Models, and support for multiple new models including YOLO12, D-FINE, RF-DETR, and GeCo zero-shot counting.

May 15, 2025

Minimal release notes: "This release is a quick bug fix. It fixes issue [69](https://github.com/Alfredredbird/tookie-osint/issues/69) 69, Ha "

Feb 20, 2025

This release adds YOLOv8-SAM2.1 instance segmentation model support to X-AnyLabeling while fixing several bugs related to canvas painting state management and pose data handling. The release also includes documentation improvements and removes the deprecated YOLOv8-EfficientViT-SAM model in favor of YOLOv8-SAM2.

Feb 18, 2025

X-AnyLabeling v2.5.3 is a bug fix and performance optimization release focusing on improving stability and handling of edge cases. The update includes performance optimizations for large files, fixes for batch processing loading issues, and corrections for pose mode annotation handling.

Jan 12, 2025

This v2.5.2 release of X-AnyLabeling focuses on export functionality enhancements and bug fixes. The key improvement adds support for classes.txt and zip output formats when exporting annotations, along with a fix for image dimension validation errors in batch processing.

Jan 2, 2025

X-AnyLabeling v2.5.1 is a minor release focused on bug fixes, model support additions, and performance optimizations. Key updates include adding Hyper-YOLO model support, Florence-2 CPU support, and optimizing batch inference efficiency, along with several bug fixes for RAM model preprocessing and config path issues.

Jan 1, 2025

Minimal release notes: "This release is minimal and is recommended to be installed. Fixes: version update functions"

Dec 2, 2024

X-AnyLabeling v2.5.0 is a major release introducing significant AI model integrations including SAM2.1, Florence-2, UPN, YOLOv5-sahi, and DocLayout-YOLO models. The release also adds powerful interactive visual-text prompting capabilities for generic vision tasks and improves data handling with COCO keypoint annotations support.

Oct 15, 2024

This release v2.4.4 adds comprehensive support for YOLO11 models from Ultralytics v8.3.0, enabling detection, oriented bounding box, pose estimation, segmentation, and tracking functionalities. The release also includes updated documentation and dependencies.

Sep 30, 2024

This is a bug fix and optimization release for X-AnyLabeling v2.4.3. It addresses issues with shape dimensions and YOLOv6lite face model loading, adds support for the RMBG v1.4 image matting model, and includes several usability improvements like natural sorting for labels and enhanced logging.

Sep 8, 2024

X-AnyLabeling v2.4.2 is a minor release focused on enhancing video tracking capabilities and developer experience. The release adds interactive video object tracking support using SAM2, implements visualization functionality for drawing results, and includes VSCode configuration files for debugging and profiling.

Sep 6, 2024