tusen-ai/simpledet
Object detection and instance segmentation framework built on MXNet with support for FasterRCNN, MaskRCNN, CascadeRCNN, and other modern CV models.
Not currently ranked — collecting fresh signals.
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SimpleDet is a computer vision framework focused on object detection and instance recognition tasks. It provides a modular platform for training and evaluating deep learning models including FasterRCNN, MaskRCNN, CascadeRCNN, RetinaNet, EfficientNet, and specialized architectures like TridentNet and NASFPN. The framework includes training optimizations such as FP16 support, distributed training, automatic batch normalization fusion, and INT8 quantization, making it a comprehensive toolkit for CV model development.
Frequently asked
- What is tusen-ai/simpledet?
- Object detection and instance segmentation framework built on MXNet with support for FasterRCNN, MaskRCNN, CascadeRCNN, and other modern CV models.
- Is simpledet open source?
- Yes — tusen-ai/simpledet is open source, released under the Apache-2.0 license.
- What language is simpledet written in?
- tusen-ai/simpledet is primarily written in Python.
- How popular is simpledet?
- tusen-ai/simpledet has 3.1k stars on GitHub.
- Where can I find simpledet?
- tusen-ai/simpledet is on GitHub at https://github.com/tusen-ai/simpledet.