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