Train YOLOv5
Dashboard to configure and monitor training
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Label project images using detector and pose estimator
Label project images using detector and classify predicted boxes
to TorchScript and ONNX formats
Visualize and build augmentation pipeline with ImgAug
Interactive Confusion matrix, mAP, ROC and more
Generate synthetic data: flying foregrounds on top of backgrounds
Calculate and visualize embeddings
Open metrics in tensorboard