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YOLOv5 is a state-of-the-art computer vision model for object detection, segmentation, and classification.
YOLO models for computer vision tasks
Segment Anything Model for image/video segmentation with AI prompts
Reusable computer vision tools for developers
Privacy-focused analytics platform as an open-source alternative to Google Analytics
Chinese text segmentation library for Python
Detectron2 is a PyTorch-based library for object detection, segmentation, and visual recognition tasks.
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
Open-source data labeling tool for AI/ML projects
Deep learning tutorial for image processing with PyTorch and TensorFlow2
Mask R-CNN for object detection and instance segmentation using Keras and TensorFlow
CVPR 2025 ่ฎบๆๅๅผๆบ้กน็ฎๅ้
High-level browser automation library for JavaScript developers
Offline IP address manager framework and locator with IPv4 and IPv6 support, high-performance searching.
A repository for running inference with the Meta Segment Anything Model 2 (SAM 2) and example notebooks.
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.
A Python library for image polygonal annotation with support for various shapes and flags.
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
Fast and flexible image augmentation library for computer vision and machine learning projects.
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