Train YOLOv5
Dashboard to configure and monitor training
Dashboard to configure and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor training
Predictions on every frame are combined with DeepSort into tracks automatically
serve and use in videos annotator
Deploy model as REST API service
Training dashboard for mmdetection framework (v3.0.0 and above).
to TorchScript and ONNX formats
Deploy MMDetection 3.0 model as a REST API service
CVPR2022 SOTA video object tracking
Track points and polygons on videos
Track polygons, rectangles and points using linear interpolation
Track points and polygons on videos
serve and use in videos annotator
Synthesize videos on annotated data
Track points, polygons and skeletons (keypoints) on videos
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Predictions on every frame are combined with DeepSort into tracks automatically
Deploy model as REST API service
Dashboard to configure, start and monitor training
Deploy model as REST API service
Deploy model as REST API service
Training dashboard for mmdetection framework (v3.0.0 and above).
Semi-supervised, works with both long and short videos
Deploy model as REST API service
Deploy MMDetection 3.0 model as a REST API service
Track polygons, rectangles and points using linear interpolation
Train HRDA model for segmentation in semi-supervised mode
Synthesize videos on annotated data
Deploy HRDA model for inference
Deploy Transfiner for instance segmentation as a REST API service
complete solution for video annotation
State-of-the art object segmentation model in Labeling Interface
Deploy model as REST API service
Deploy ClickSEG models for interactive instance segmentation
Dashboard to configure, start and monitor training
Run HQ-SAM and then use in labeling tool
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Batched smart labeling tool for Videos