179K+ 
Video labeling tool
complete solution for video annotation
videos
78 results found
15K+ 
Import Videos
Import Videos without annotations to Supervisely
10K+ 
Clone
Clone project or dataset to selected workspace or project, works with all project types: images / videos / 3d / dicom
6K+ 
Export videos project in Supervisely format
Export videos project and prepares downloadable tar archive
5K+ 
Export only labeled items
Export only labeled items and prepares downloadable tar archive
4K+ 
Train YOLOv5
Dashboard to configure and monitor training
2K+ 
Import videos from cloud storage
Import videos from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)
2K+ 
Import videos in Supervisely format
Import videos with annotations in Supervisely format
2K+ 
Serve YOLOv5
Deploy model as REST API service
1K+ 
RITM interactive segmentation SmartTool
State-of-the art object segmentation model in Labeling Interface
1K+ 
Videos project to images project
Creates images project from video project
1K+ 
Import videos by URLs from txt file
Downloads videos by URLs and uploads them to Supervisely Storage
1K+ 
Train MMDetection
Dashboard to configure, start and monitor training
1K+ 
Extract frames from videos
Read every n-th frame and save to images project
1K+ 
Serve Segment Anything Model
Deploy model as REST API service
1K+ 
Train Detectron2
Dashboard to configure, start and monitor training
1K+ 
Apply NN to Videos Project
Predictions on every frame are combined with DeepSort into tracks automatically
1K+ 
Train MMSegmentation
Dashboard to configure, start and monitor training
944 
Serve ClickSEG
Deploy ClickSEG models for interactive instance segmentation
904 
Serve MMDetection
Deploy model as REST API service
885 
TransT object tracking (CVPR2021)
TransT object tracking (CVPR2021)
serve and use in videos annotator
869 
Train UNet
Dashboard to configure, start and monitor training
735 
Serve Detectron2
Deploy model as REST API service
660 
Render Video Labels to MP4
Creates presentation mp4 file based on labeled video
601 
Train MMDetection 3.0
Training dashboard for mmdetection framework (v3.0.0 and above).
583 
Train RITM
Dashboard to configure, start and monitor training
500 
Serve MMSegmentation
Deploy model as REST API service
477 
Split datasets
Split one or multiple datasets into parts
473 
XMem Video Object Segmentation
Semi-supervised, works with both long and short videos
458 
Mark attributed segments on multi-camera videos
Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view
442 
Object detection metrics
Interactive Confusion matrix, mAP, ROC and more
399 
Video objects stats for every class
The number of objects, figures and frames for every class for every dataset
365 
Serve Segment Anything in High Quality
Run HQ-SAM and then use in labeling tool
321 
Serve MMDetection 3.0
Deploy MMDetection 3.0 model as a REST API service
292 
MixFormer object tracking (CVPR2022)
CVPR2022 SOTA video object tracking
289 
Images project to videos project
Creates video project from images project
275 
Serve UNet
Deploy model as REST API service
201 
Batched Smart Tool for Videos
Batched smart labeling tool for Videos
195 
Render video to compare projects
Put images with labels into collage and renders comparison videos
191 
EiSeg interactive segmentation SmartTool
SmartTool integration of Efficient Interactive Segmentation (EISeg)
190 
Export YOLOv5 weights
to TorchScript and ONNX formats
189 
Export items after review
Export items after the passing labeling job review
181 
Action Recognition Labeling Tool
Label videos for Action Recognition task
180 
Render video from images
Creates video from images in dataset with selected frame rate and configurable label opacity
172 
Mark segments on multi-camera videos
Tag segments (begin and end) on single or multiple videos in dual-panel view
171 
Train HRDA
Train HRDA model for segmentation in semi-supervised mode
162 
PIPs object tracking
Track points and polygons on videos
159 
Take fragment from video
Extract video fragment to selected project or dataset
152 
Classic Labeling Queues
Annotate Project using Queues
118 
Import YouTube videos
Import videos by urls provided in text file
108 
Objects Interpolation on video
Track polygons, rectangles and points using linear interpolation
105 
Apply NN to video frames
Apply NN models to video frames
95 
Change video framerate
Change video framerate with preserving duration (recodes video)
84 
YouTube Downloader
Downloads and trim video from Youtube.
72 
TAP-Net object tracking
Track points and polygons on videos
71 
Anonymize Data
App to obscure data on images and videos
69 
Serve HRDA
Deploy HRDA model for inference
67 
Labeling Consensus for Videos
Compare annotations of multiple labelers
66 
Labelbox to Supervisely Migration Tool
Convert and copy multiple Labelbox projects into Supervisely at once.
55 
Merge Tags
Merge Tags in videos or images project
55 
Import CVAT
Import images and videos with annotations in CVAT format.
53 
Action Recognition Stats Tool
Analyse videos labeled for Action Recognition task
52 
Import Videos from Team Files
Import selected videos from Team Files to selected destination
49 
Create project from template
Create a new empty project with a meta of original project
48 
Convert Video Class Shape
Converts shapes of classes on videos (e.g. polygon to bitmap) and all corresponding objects
37 
Serve InSPyReNet
Deploy InSPyReNet for salient object segmentation as a REST API service
34 
CoTracker object tracking
Track points, polygons and skeletons (keypoints) on videos
34 
V7 to Supervisely Migration Tool
Convert and copy multiple V7 datasets into Supervisely at once.
33 
[beta] Serve OpenCV
[beta] Serve OpenCV
serve and use in videos annotator
27 
Synthetic videos for tracking
Synthesize videos on annotated data
23 
Import V7
Import images and videos with annotations in V7 format.
18 
CVAT to Supervisely Migration Tool
Convert and copy multiple CVAT projects into Supervisely at once.
13 
Serve Transfiner
Deploy Transfiner for instance segmentation as a REST API service
7 
Serve SelfReformer
Deploy SelfReformer for salient object segmentation as a REST API service
7 
Export YOLOv8 weights
to TorchScript and ONNX formats
2 
Action Recognition
Label and Review videos for Action Recognition task
236 
Videos example
Videos example
Sample videos with labels
78 
Demo video pairs
Demo video pairs
Video pairs for multicamera labeling
