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ultralytics/yolov5

YOLOv5 is a state-of-the-art computer vision model for object detection, segmentation, and classification.

56.9K
Active
Python
Computer Vision
PyTorch
#object-detection#image-segmentation#image-classification

ultralytics/ultralytics

YOLO models for computer vision tasks

54.0K
Active
Python
Computer Vision
PyTorch
#yolo#object-detection#image-classification

facebookresearch/segment-anything

Segment Anything Model for image/video segmentation with AI prompts

53.6K
Archived
Jupyter Notebook
Computer Vision
PyTorch
#segmentation#computer-vision#ai-model

roboflow/supervision

Reusable computer vision tools for developers

36.6K
Active
Python
Computer Vision
Python
#computer-vision#image-processing#deep-learning

umami-software/umami

Privacy-focused analytics platform as an open-source alternative to Google Analytics

35.5K
Active
TypeScript
Analytics & Tracking
TypeScript
#analytics#open-source#privacy-focused

fxsjy/jieba

Chinese text segmentation library for Python

34.8K
Archived
Python
CLI Tools
#nlp#text-processing#chinese

facebookresearch/detectron2

Detectron2 is a PyTorch-based library for object detection, segmentation, and visual recognition tasks.

34.2K
Stable
Python
Computer Vision
PyTorch
#object detection#image segmentation#computer vision

open-mmlab/mmdetection

Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.

32.4K
Archived
Python
Computer Vision
PyTorch
#object-detection#instance-segmentation#computer-vision

HumanSignal/label-studio

Open-source data labeling tool for AI/ML projects

26.6K
Active
TypeScript
Computer Vision
Testing
#data-labeling#annotation-tool#computer-vision

WZMIAOMIAO/deep-learning-for-image-processing

Deep learning tutorial for image processing with PyTorch and TensorFlow2

26.1K
Stable
Python
Computer Vision
Tutorials & Courses
PyTorch
#deep-learning#image-processing#pytorch

matterport/Mask_RCNN

Mask R-CNN for object detection and instance segmentation using Keras and TensorFlow

25.5K
Archived
Python
Computer Vision
Keras
#object-detection#instance-segmentation#keras

amusi/CVPR2026-Papers-with-Code

CVPR 2025 ่ฎบๆ–‡ๅ’Œๅผ€ๆบ้กน็›ฎๅˆ้›†

22.0K
Experimental
Computer Vision
#cvpr2025#papers-with-code#computer-vision

segment-boneyard/nightmare

High-level browser automation library for JavaScript developers

20.0K
Archived
JavaScript
Testing
Browser Automation SDKs
JavaScript
#browser-automation#javascript#testing

lionsoul2014/ip2region

Offline IP address manager framework and locator with IPv4 and IPv6 support, high-performance searching.

18.8K
Active
Java
API Frameworks
#ip-address#ip-lookup#ipv4

facebookresearch/sam2

A repository for running inference with the Meta Segment Anything Model 2 (SAM 2) and example notebooks.

18.6K
Archived
Jupyter Notebook
Computer Vision
Jupyter Notebook
#computer-vision#image-segmentation#machine-learning

IDEA-Research/Grounded-Segment-Anything

A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.

17.4K
Archived
Jupyter Notebook
Computer Vision
Jupyter Notebook
#computer-vision#image-segmentation#image-generation

microsoft/Swin-Transformer

An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.

15.7K
Archived
Python
Computer Vision
PyTorch
#computer-vision#image-classification#image-segmentation

wkentaro/labelme

A Python library for image polygonal annotation with support for various shapes and flags.

15.6K
Active
Python
React
#image-annotation#computer-vision#deep-learning

cvat-ai/cvat

CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.

15.4K
Active
Python
Computer Vision
PyTorch
#annotation#computer-vision#dataset

albumentations-team/albumentations

Fast and flexible image augmentation library for computer vision and machine learning projects.

15.3K
Experimental
Python
Computer Vision
Python
#augmentation#deep-learning#image-processing
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