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.