super-gradients

Why we included this project

Most vision teams end up juggling separate repos for classification, detection, segmentation, and pose estimation. SuperGradients keeps those workloads under one API, and its training recipes get you training from the command line with just a dataset path, without hand-tuning hyperparameters. The model zoo includes the YOLO-NAS family with pretrained COCO weights, and ONNX export makes the results straightforward to serve through TensorRT or OpenVINO. That combination sits between a black-box training tool and a hand-rolled PyTorch pipeline: enough control to matter, not so much glue code that it slows you down. Teams that want reproducible vision training without assembling everything themselves will find this a sensible starting point.