Video labeling tool
complete solution for video annotation
complete solution for video annotation
Import Videos without annotations to Supervisely
Export videos project and prepares downloadable tar archive
Export only labeled items and prepares downloadable tar archive
Clone project or dataset to selected workspace or project, works with all project types: images / videos / 3d / dicom
Dashboard to configure and monitor training
Import videos from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)
Import videos with annotations in Supervisely format
Deploy model as REST API service
Downloads videos by URLs and uploads them to Supervisely Storage
Creates images project from video project
Read every n-th frame and save to images project
Dashboard to configure, start and monitor training
State of the art object segmentation model in Labeleing Interface
serve and use in videos annotator
Dashboard to configure, start and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor training
NN Inference on videos in project or dataset
Creates presentation mp4 file based on labeled video
Dashboard to configure, start and monitor training
Deploy model as REST API service
Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view
The number of objects, figures and frames for every class for every dataset
Deploy model as REST API service
Creates video project from images project
Interactive Confusion matrix, mAP, ROC and more
Deploy model as REST API service
to TorchScript and ONNX formats
Dashboard to configure, start and monitor training
Tag segments (begin and end) on single or multiple videos in dual-panel view
Creates video from images in dataset with selected frame rate and configurable label opacity
Split one or multiple datasets into parts
Label videos for Action Recognition task
Batched smart labeling tool for Videos
Deploy ClickSEG models for interactive instance segmentation
serve and use in videos annotator
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Annotate Project using Queues
Put images with labels into collage and renders comparison videos
Extract video fragment to selected project or dataset
Track polygons, rectangles and points using linear interpolation
Import videos by urls provided in text file
serve and use in videos annotator
Change video framerate with preserving duration (recodes video)
Converts shapes of classes on videos (e.g. polygon to bitmap) and all corresponding objects
Analyse videos labeled for Action Recognition task
Import selected videos from Team Files to selected destination
Create a new empty project with a meta of original project
serve and use in videos annotator
Merge Tags in videos or images project
Synthesize videos on annotated data
Deploy InSPyReNet for salient object segmentation as a REST API service
Downloads and trim video from Youtube.
Deploy SelfReformer for salient object segmentation as a REST API service
Label and Review videos for Action Recognition task
Deploy Transfiner for instance segmentation as a REST API service
Sample videos with labels
Video pairs for multicamera labeling