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MMDETECTION
Open-source object detection toolbox with hundreds of pre-trained models
Apache-2.0
ABOUT
Building high-quality object detection systems from scratch requires extensive expertise in model architecture design, data augmentation, training strategies, and evaluation protocols. MMDetection standardizes the entire pipeline with modular, configurable components and hundreds of pre-trained models that researchers and engineers can immediately benchmark, fine-tune, and deploy.
INSTALL
pip install mmdetectionINTEGRATION GUIDE
1. Detect objects in images and video streams using state-of-the-art models like DETR, YOLO, Mask R-CNN, and Swin Transformer
2. Benchmark detection models on standard datasets (COCO, Pascal VOC, Cityscapes) with a unified evaluation framework
3. Prototype new detection architectures by mixing and matching modular components
4. Fine-tune pre-trained detection models on custom datasets with minimal code changes
5. Deploy instance segmentation and panseg pipelines for autonomous driving, medical imaging, and industrial inspection
TAGS
computer-visionobject-detectiondeep-learningpytorchsegmentationopenmmlab