chainer/chainercv
ChainerCV is a collection of neural network tools for computer vision tasks including image classification, object detection, semantic segmentation, and instance segmentation.
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ChainerCV is a computer vision library built on the Chainer deep learning framework. It provides implementations of popular neural network architectures for tasks such as object detection (Faster R-CNN, SSD, YOLO), semantic segmentation (DeepLab v3+, PSPNet), and instance segmentation (Mask R-CNN). The library offers cohesive APIs for training, evaluation, and model deployment with reproducibility-focused training scripts and pretrained weights.
Frequently asked
- What is chainer/chainercv?
- ChainerCV is a collection of neural network tools for computer vision tasks including image classification, object detection, semantic segmentation, and instance segmentation.
- Is chainercv open source?
- Yes — chainer/chainercv is open source, released under the MIT license.
- What language is chainercv written in?
- chainer/chainercv is primarily written in Python.
- How popular is chainercv?
- chainer/chainercv has 1.5k stars on GitHub.
- Where can I find chainercv?
- chainer/chainercv is on GitHub at https://github.com/chainer/chainercv.