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Top Computer vision repositories on GitHub

Image and video understanding: detection, segmentation, generation.

Ranked by stars across 4,009 repositories tagged computer-vision. Refreshed daily.

  1. 1
    opencv/opencv90,894 · ⑂ 57,032

    Open Source Computer Vision Library

    • opencv
    • c-plus-plus
    • computer-vision
    • deep-learning
    • image-processing
  2. 2
    Developer-Y/cs-video-courses83,541 · ⑂ 11,490

    List of Computer Science courses with video lectures.

    • computer-science
    • algorithms
    • systems
    • databases
    • machine-learning
    • web-development
  3. 3
    d2l-ai/d2l-zh80,811 · ⑂ 12,391

    《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

    • deep-learning
    • book
    • notebook
    • natural-language-processing
    • computer-vision
    • machine-learning
  4. 4
    microsoft/AI-For-Beginners68,734 · ⑂ 13,277

    12 Weeks, 24 Lessons, AI for All!

    • deep-learning
    • artificial-intelligence
    • machine-learning
    • ai
    • computer-vision
    • nlp
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  6. 5
    ultralytics/ultralytics61,789 · ⑂ 11,782

    Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

    • ultralytics
    • yolov8
    • yolo
    • deep-learning
    • image-classification
    • machine-learning
  7. 6
    ultralytics/yolov558,047 · ⑂ 17,469

    Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

    • yolov5
    • object-detection
    • pytorch
    • onnx
    • coreml
    • tflite
  8. 7

    Learn it. Build it. Ship it for others.

    • agents
    • ai
    • ai-agents
    • ai-engineering
    • computer-vision
    • course
  9. 8
    roboflow/supervision50,935 · ⑂ 4,842

    We write your reusable computer vision tools. 💜

    • computer-vision
    • image-processing
    • python
    • yolo
    • instance-segmentation
    • object-detection
  10. 9
    google-ai-edge/mediapipe37,004 · ⑂ 6,165

    Cross-platform, customizable ML solutions for live and streaming media.

    • mediapipe
    • c-plus-plus
    • computer-vision
    • deep-learning
    • android
    • video-processing
  11. 10

    500 AI Machine learning Deep learning Computer vision NLP Projects with code

    • awesome
    • machine-learning
    • deep-learning
    • machine-learning-projects
    • deep-learning-project
    • computer-vision-project
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  13. 11

    OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

    • openpose
    • computer-vision
    • machine-learning
    • cpp
    • caffe
    • opencv
  14. 12
    eugeneyan/applied-ml30,351 · ⑂ 3,996

    📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

    • applied-machine-learning
    • production
    • applied-data-science
    • machine-learning
    • data-science
    • reinforcement-learning
  15. 13
    d2l-ai/d2l-en29,648 · ⑂ 5,130

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

    • deep-learning
    • machine-learning
    • book
    • notebook
    • computer-vision
    • natural-language-processing
  16. 14
    HumanSignal/label-studio28,296 · ⑂ 3,717

    Label Studio is a multi-type data labeling and annotation tool with standardized output format

    • computer-vision
    • deep-learning
    • image-annotation
    • annotation-tool
    • annotation
    • labeling
  17. 15
    lucidrains/vit-pytorch25,512 · ⑂ 3,497

    Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

    • artificial-intelligence
    • attention-mechanism
    • transformers
    • computer-vision
    • image-classification
  18. 16

    Image-to-Image Translation in PyTorch

    • pytorch
    • gan
    • cyclegan
    • pix2pix
    • deep-learning
    • computer-vision
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  20. 17
    graphdeco-inria/gaussian-splatting23,915 · ⑂ 3,433

    Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

    • computer-graphics
    • computer-vision
    • radiance-field
  21. 18
    AccumulateMore/CV23,762 · ⑂ 2,645

    ✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

    • book
    • chinese
    • computer-vision
    • deep-learning
    • machine-learning
    • natural-language-processing
  22. 19

    《明日方舟》小助手,全日常一键长草!| A one-click tool for the daily tasks of Arknights, supporting all clients.

    • arknights
    • maa
    • computer-vision

Find engineers shipping Computer vision

The list above ranks the most-starred public repositories tagged with the Computer vision topic, drawn from the public GitHub graph. Across 4,009 repositories tagged this way, the maintainers and top contributors are a tight cluster of the people actually building Computer vision.

Looking for engineers who’ve worked on Computer vision for real, not just listed it on LinkedIn? The fastest path is the contributor list of these repos. Their commits, issues, and READMEs are public proof of depth.

Refolk turns this list into a search. Ask for “maintainers of top Computer vision repos who are hiring”, Computer vision engineers in San Francisco”, or “founders shipping Computer vision” and Refolk returns a ranked shortlist with sources.

How this list is built

Refolk searched GitHub for public repositories tagged with the Computer vision topic, ranked them by stargazer count, and kept those with at least 50 stars. The list refreshes once a day.

Last refreshed: Sat, 19 Sep 2026 20:40:39 GMT

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How are these repositories ranked?

By stars, with forks and recent activity as tiebreakers, read from the public GitHub API. The methodology section above has the details.

How fresh is the data?

The ranking re-renders at least daily. Last refreshed: Sat, 19 Sep 2026 20:40:39 GMT.

Can I find the maintainers and contributors behind these repos?

Yes. Stars rank the projects; I can rank the engineers - maintainers, top contributors, and the people they work with. You start with 500 free credits, no card required.

Can I use this list for hiring?

That's the point. I read hiring signals across GitHub, LinkedIn, and the open web, so a repo list turns into a shortlist of engineers worth talking to.

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  2. 02I read the web live

    GitHub, public LinkedIn and Crunchbase records, the open web. Not a database that went stale last quarter.

  3. 03You read the shortlist

    Ranked, with the reasoning under every name. Open a profile, ask a follow-up, narrow it down.

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  • Read at search time, so a profile updated yesterday counts today.
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