NN Image Labeling
Use deployed neural network in labeling interface
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Dashboard to configure and monitor training
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 training
Deploy model as REST API service
Deploy YOLOv8 | v9 | v10 as REST API service
Dashboard to configure, start and monitor training
Training dashboard for mmdetection framework (v3.0.0 and above).
Deploy model as REST API service
Generate synthetic data: flying foregrounds on top of backgrounds
Visualize and build augmentation pipeline with ImgAug
Class-agnostic interactive detection for auto-prelabeling
Deploy MMDetection 3.0 model as a REST API service
Class-angnostic object detection model
Interactive Confusion matrix, mAP, ROC and more
Label project images using detector and pose estimator
Label project images using detector and classify predicted boxes
Calculate and visualize embeddings
Apply NN models to video frames
to TorchScript and ONNX formats
App to obscure data on images and videos
Dashboard to configure, start and monitor YOLOv5 2.0 training
Evaluate the performance of the NN model
Deploy YOLOv5 2.0 as REST API service
Train MMDetection3D for detection on Point Clouds data
Deploy MMDetection3D models to detect objects in Point Clouds
Apply pretrained models for underwater species detection
to TorchScript and ONNX formats
All you need to work with YOLOv5