Roboflow provides tools to build and deploy computer vision models, from annotation to model deployment.
CCV
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

About CCV
CCV is a C-based computer vision library for image classification, frontal face detection, pedestrian and car detection, text detection, general object tracking, and feature point extraction. It includes a built-in cache for preprocessing steps such as image pyramid generation and color space conversion while keeping function interfaces simple.
It runs on systems with a C compiler, including Mac OSX, Linux, FreeBSD, Windows, iPhone, iPad, Android, and Raspberry Pi. Most of the library works without compilation flags or dependencies, except convolutional network functions, which require a BLAS library.
Key features
- Frontal face detection
- Pedestrian and car object detection
- Text detection in images
- Long-term general object tracking
- Feature point extraction
- Built-in cache for image pyramids and color conversion
- Runs on multiple desktop, mobile, and small-device systems with a C compiler
- Most functions work without compilation flags or added dependencies
- Caches preprocessing steps while keeping function interfaces simple
- Convolutional network functions require a BLAS library
CCV at a glance
- Website
- github.com/liuliu/ccv
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Android, iOS, Linux, Windows
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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