351K+ 
Video labeling tool
complete solution for video annotation
videos
87 results found
16K+ 
Clone
Clone project or dataset to selected workspace or project, works with all project types: images / videos / 3d / dicom
15K+ 
Import Videos
Import Videos without annotations to Supervisely
7K+ 
Export videos project in Supervisely format
Export videos project and prepares downloadable tar archive
7K+ 
Export only labeled items
Export only labeled items and prepares downloadable tar archive
5K+ 
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+ 
Serve YOLOv5
Deploy model as REST API service
2K+ 
Import videos in Supervisely format
Import videos with annotations in Supervisely format
2K+ 
Videos project to images project
Creates images project from video project
2K+ 
RITM interactive segmentation SmartTool
State-of-the art object segmentation model in Labeling Interface
2K+ 
Train MMSegmentation
Dashboard to configure, start and monitor training
1K+ 
Serve Segment Anything Model
Deploy model as REST API service
1K+ 
Train MMDetection 3.0
Training dashboard for mmdetection framework (v3.0.0 and above).
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+ 
Apply NN to Videos Project
Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically
1K+ 
Serve ClickSEG
Deploy ClickSEG models for interactive instance segmentation
1K+ 
Train Detectron2
Dashboard to configure, start and monitor training
1K+ 
Train UNet
Dashboard to configure, start and monitor training
1K+ 
Serve MMSegmentation
Deploy model as REST API service
1K+ 
Serve MMDetection
Deploy model as REST API service
1K+ 
Serve Segment Anything 2.1
Deploy SAM 2 model as REST API service
943 
TransT object tracking (CVPR2021)
TransT object tracking (CVPR2021)
serve and use in videos annotator
878 
Train RITM
Dashboard to configure, start and monitor training
865 
Split datasets
Split one or multiple datasets into parts
841 
Serve Segment Anything in High Quality
Run HQ-SAM and then use in labeling tool
834 
Serve MMDetection 3.0
Deploy MMDetection 3.0 model as a REST API service
833 
Video objects stats for every class
The number of objects, figures and frames for every class for every dataset
812 
Serve Detectron2
Deploy model as REST API service
782 
XMem Video Object Segmentation
Semi-supervised, works with both long and short videos
750 
Render Video Labels to MP4
Creates presentation mp4 file based on labeled video
639 
MixFormer object tracking
CVPR2022 SOTA video object tracking
639 
Auto Track
Tracking settings for video annotation tool
496 
Object detection metrics
Interactive Confusion matrix, mAP, ROC and more
476 
Mark attributed segments on multi-camera videos
Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view
374 
Export Items After Review
Export items after the passing labeling job review
358 
Train HRDA
Train HRDA model for segmentation in semi-supervised mode
356 
Apply NN to video frames
Apply NN models to video frames
341 
Serve UNet
Deploy model as REST API service
323 
Images project to videos project
Creates video project from images project
310 
Anonymize Data
App to obscure data on images and videos
232 
Action Recognition Labeling Tool
Label videos for Action Recognition task
227 
Export YOLOv5 weights
to TorchScript and ONNX formats
216 
Render video from images
Creates video from images in dataset with selected frame rate and configurable label opacity
214 
Batched Smart Tool for Videos
Batched smart labeling tool for Videos
212 
EiSeg interactive segmentation SmartTool
SmartTool integration of Efficient Interactive Segmentation (EISeg)
209 
Change video framerate
Change video framerate with preserving duration (recodes video)
198 
Classic Labeling Queues
Annotate Project using Queues
198 
Render video to compare projects
Put images with labels into collage and renders comparison videos
194 
Take fragment from video
Extract video fragment to selected project or dataset
175 
Mark segments on multi-camera videos
Tag segments (begin and end) on single or multiple videos in dual-panel view
174 
PIPs object tracking
Track points and polygons on videos
155 
Export project to cloud storage
Export project to Google Cloud Storage, Amazon S3, Microsoft Azure, ...
152 
Objects Interpolation on video
Track polygons, rectangles and points using linear interpolation
134 
Import YouTube videos
Import videos by urls provided in text file
118 
Serve HRDA
Deploy HRDA model for inference
112 
Fine-tune Segment Anything 2.1
Dashboard for SAM 2.1 fine-tuning
108 
YouTube Downloader
Downloads and trim video from Youtube.
96 
Labelbox to Supervisely Migration Tool
Convert and copy multiple Labelbox projects into Supervisely at once.
94 
CoTracker object tracking
Track points, polygons and skeletons (keypoints) on videos
88 
Conveyor Belt Auto Tracking
Effortlessly track and interpolate labeled objects on a conveyor belt in real-time
84 
Import CVAT
Import images and videos with annotations in CVAT format.
83 
Merge Tags
Merge Tags in videos or images project
83 
Labeling Consensus for Videos
Compare annotations of multiple labelers
80 
TAP-Net object tracking
Track points and polygons on videos
67 
Action Recognition Stats Tool
Analyse videos labeled for Action Recognition task
60 
Import Videos from Team Files
Import selected videos from Team Files to selected destination
58 
Convert Video Class Shape
Converts shapes of classes on videos (e.g. polygon to bitmap) and all corresponding objects
57 
Annotation Validator
Validate annotations in a project
54 
Create project from template
Create a new empty project with a meta of original project
51 
[beta] Serve OpenCV
[beta] Serve OpenCV
serve and use in videos annotator
43 
Serve InSPyReNet
Deploy InSPyReNet for salient object segmentation as a REST API service
42 
Import V7
Import images and videos with annotations in V7 format.
42 
Export YOLOv8 weights
to TorchScript and ONNX formats
40 
V7 to Supervisely Migration Tool
Convert and copy multiple V7 datasets into Supervisely at once.
30 
CVAT to Supervisely Migration Tool
Convert and copy multiple CVAT projects into Supervisely at once.
29 
Synthetic videos for tracking
Synthesize videos on annotated data
29 
MCITrack Object Tracking
Deploy MCITrack as REST API service
28 
Mouse action recognition
Mouse action recognition
Mouse action recognition with RT-DETRv2 and MVD
25 
Transcode Videos
Transcode videos to mp4 format
15 
Serve Transfiner
Deploy Transfiner for instance segmentation as a REST API service
8 
Serve SelfReformer
Deploy SelfReformer for salient object segmentation as a REST API service
2 
Action Recognition
Label and Review videos for Action Recognition task
341 
Videos example
Videos example
Sample videos with labels
89 
Demo video pairs
Demo video pairs
Video pairs for multicamera labeling
