Software Alternatives, Accelerators & Startups

DINOv2

PyTorch code and models for the DINOv2 self-supervised learning method.

Best DINOv2 Alternatives & Competitors in 2025

The best DINOv2 alternatives based on verified products, community votes, reviews and other factors.
Filter: 10 Open-Source Alternatives. Latest update:

  1. A software library for computation of the discrete wavelet transform that is primarily implemented...

    /libdwt-alternatives
  2. Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

    /computer-vision-annotation-tool-cvat-alternatives
  3. Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.

    Try for free paid Free Trial $3.0 (3$ per 1 Gb)

    Try for free
  4. OpenCV is the world's biggest computer vision library

    Open Source

    /opencv-alternatives
  5. Machine learning, computer vision and statistics framework for .NET

    Open Source

    /accord-net-framework-alternatives
  6. FastCV will enable you to add new user experiences into your camera-based apps like:

    /fastcv-computer-vision-alternatives
  7. Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

    Open Source

    /universal-data-tool-alternatives
  8. BoofCV is an open source library written from scratch for real-time computer vision.

    Open Source

    /boofcv-alternatives
  9. Build computer vision products for the real world

    Open Source freemium

    /labelbox-alternatives
  10. SimpleCV is an open source framework for building computer vision applications.

    Open Source

    /simplecv-alternatives
  11. Supervisely helps people with and without machine learning expertise to create state-of-the-art...

    /supervisely-alternatives
  12. Eliminating your boilerplate computer vision code

    /roboflow-alternatives
  13. C# Wrapper for the Leptonica Library Version 1.77

    /leptonicasharp-alternatives
  14. Multi-sensor labeling platform for robotics and autonomous driving

    freemium €800.0 / Monthly (Includes 3,600 hours/yr of labeling usage)

    /segments-ai-alternatives
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