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