chainer/chainercv

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1481 stars · 292 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ChainerCV is a Python library providing tools to train and run neural networks for computer vision tasks on top of the Chainer framework. It includes reference implementations of models for image classification, object detection, and semantic/instance segmentation with unified data loaders and evaluation APIs.

Use cases

• run object detection with pretrained YOLO or Faster R-CNN models
• train image classification networks like ResNet or VGG
• perform semantic segmentation with PSPNet or DeepLab
• evaluate vision models on standard datasets
• get reproducible reference implementations of CV models

When to choose

• you are already using the Chainer framework for deep learning
• you need well-tested reference implementations of classic vision models
• you want cohesive data loading and evaluation utilities for vision tasks

When to avoid

• you use PyTorch or TensorFlow instead of Chainer
• you need actively developed or state-of-the-art vision models
• you require support for recent Python versions

Facets

library · maturity maintenance

deep-learning image-processing computer-vision machine-learning computer-vision deep-learning machine-learning python chainer object-detection semantic-segmentation image-classification instance-segmentation pretrained-models linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="chainer/chainercv")