Train YOLOv5
Dashboard to configure and monitor training
Dashboard to configure and monitor training
Deploy model as REST API service
NN Inference on images in project or dataset
to TorchScript and ONNX formats
Use deployed neural network in labeling interface
Generate synthetic data: flying foregrounds on top of backgrounds
Visualize and build augmentation pipeline with ImgAug
Dashboard to configure, start and monitor training
Interactive Confusion matrix, mAP, ROC and more
Deploy model as REST API service
Label project images using detector and classify predicted boxes
Calculate and visualize embeddings
All you need to work with YOLOv5