1M+ 
Video labeling tool
complete solution for video annotation
videos
105 results found
19K+ 
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
9K+ 
Export videos project in Supervisely format
Export videos project and prepares downloadable tar archive
8K+ 
Export only labeled items
Export only labeled items and prepares downloadable tar archive
5K+ 
Train YOLOv5
Dashboard to configure and monitor training
3K+ 
Videos project to images project
Creates images project from video project
3K+ 
RITM interactive segmentation SmartTool
State-of-the art object segmentation model in Labeling Interface
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+ 
Train MMSegmentation
Dashboard to configure, start and monitor training
2K+ 
ML Pipelines
Drag and drop interface for building custom DataOps pipelines
2K+ 
Serve Segment Anything Model
Deploy model as REST API service
2K+ 
Train MMDetection 3.0
Training dashboard for mmdetection framework (v3.0.0 and above).
1K+ 
Serve Segment Anything 2.1
Deploy SAM 2 model as REST API service
1K+ 
Apply NN to Videos Project
Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically
1K+ 
Extract frames from videos
Read every n-th frame and save to images 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+ 
Serve ClickSEG
Deploy ClickSEG models for interactive instance segmentation
1K+ 
Train UNet
Dashboard to configure, start and monitor training
1K+ 
Train Detectron2
Dashboard to configure, start and monitor training
1K+ 
Serve MMSegmentation
Deploy model as REST API service
1K+ 
Auto Track
Tracking settings for video annotation tool
1K+ 
Serve MMDetection
Deploy model as REST API service
1K+ 
Video objects stats for every class
The number of objects, figures and frames for every class for every dataset
1K+ 
Split datasets
Split one or multiple datasets into parts
1K+ 
Train RITM
Dashboard to configure, start and monitor training
978 
TransT object tracking (CVPR2021)
TransT object tracking (CVPR2021)
serve and use in videos annotator
943 
Serve MMDetection 3.0
Deploy MMDetection 3.0 model as a REST API service
917 
Serve Segment Anything in High Quality
Run HQ-SAM and then use in labeling tool
880 
MixFormer object tracking
CVPR2022 SOTA video object tracking
857 
XMem Video Object Segmentation
Semi-supervised, works with both long and short videos
856 
Render Video Labels to MP4
Creates presentation mp4 file based on labeled video
825 
Serve Detectron2
Deploy model as REST API service
659 
Object detection metrics
Interactive Confusion matrix, mAP, ROC and more
623 
Export Items After Review
Export items after the passing labeling job review
560 
Apply NN to video frames
Apply NN models to video frames
513 
Pexels downloader
Downloads images and videos from Pexels.
482 
Mark attributed segments on multi-camera videos
Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view
477 
Predict App
This app applies neural networks to images. It supports various neural network tasks such as object detection, semantic segmentation, and instance segmentation.
393 
Train HRDA
Train HRDA model for segmentation in semi-supervised mode
387 
Serve RT-DETRv2
Deploy RT-DETRv2 as a REST API service
384 
Images project to videos project
Creates video project from images project
382 
Serve UNet
Deploy model as REST API service
354 
Serve Segment Anything 3
Deploy SAM 3 model as REST API service
346 
Anonymize Data
App to obscure data on images and videos
334 
Export project to cloud storage
Export project to Google Cloud Storage, Amazon S3, Microsoft Azure, ...
273 
Render video from images
Creates video from images in dataset with selected frame rate and configurable label opacity
272 
Mouse action recognition
Mouse action recognition
Mouse action recognition with RT-DETRv2 and MVD
257 
Action Recognition Labeling Tool
Label videos for Action Recognition task
238 
Take fragment from video
Extract video fragment to selected project or dataset
234 
Fine-tune Segment Anything 2.1
Dashboard for SAM 2.1 fine-tuning
232 
Export YOLOv5 weights
to TorchScript and ONNX formats
231 
Change video framerate
Change video framerate with preserving duration (recodes video)
221 
EiSeg interactive segmentation SmartTool
SmartTool integration of Efficient Interactive Segmentation (EISeg)
220 
Classic Labeling Queues
Annotate Project using Queues
216 
Batched Smart Tool for Videos
Batched smart labeling tool for Videos
200 
Render video to compare projects
Put images with labels into collage and renders comparison videos
178 
Mark segments on multi-camera videos
Tag segments (begin and end) on single or multiple videos in dual-panel view
176 
PIPs object tracking
Track points and polygons on videos
170 
CoTracker object tracking
Track points, polygons and skeletons (keypoints) on videos
163 
Objects Interpolation on video
Track polygons, rectangles and points using linear interpolation
144 
Import YouTube videos
Import videos by urls provided in text file
135 
Conveyor Belt Auto Tracking
Effortlessly track and interpolate labeled objects on a conveyor belt in real-time
132 
Serve HRDA
Deploy HRDA model for inference
124 
Import CVAT
Import images and videos with annotations in CVAT format.
120 
YouTube Downloader
Downloads and trim video from Youtube.
118 
Transcode Videos
Transcode videos to mp4 format
103 
Merge Tags
Merge Tags in videos or images project
103 
Annotation Validator
Validate annotations in a project
99 
Labelbox to Supervisely Migration Tool
Convert and copy multiple Labelbox projects into Supervisely at once.
97 
Serve DEIMv2
Deploy DEIMv2 models as a REST API service
90 
Labeling Consensus for Videos
Compare annotations of multiple labelers
84 
MCITrack Object Tracking
Deploy MCITrack as REST API service
82 
TAP-Net object tracking
Track points and polygons on videos
74 
Action Recognition Stats Tool
Analyse videos labeled for Action Recognition task
66 
Convert Video Class Shape
Converts shapes of classes on videos (e.g. polygon to bitmap) and all corresponding objects
61 
Create project from template
Create a new empty project with a meta of original project
61 
Fine-tune Segment Anything 3
Dashboard for SAM 3 fine-tuning
60 
Import Videos from Team Files
Import selected videos from Team Files to selected destination
59 
V7 to Supervisely Migration Tool
Convert and copy multiple V7 datasets into Supervisely at once.
58 
[beta] Serve OpenCV
[beta] Serve OpenCV
serve and use in videos annotator
54 
CVAT to Supervisely Migration Tool
Convert and copy multiple CVAT projects into Supervisely at once.
54 
Download Project Meta
Download project meta of Supervisely project for any modality.
49 
Import V7
Import images and videos with annotations in V7 format.
47 
Export YOLOv8 weights
to TorchScript and ONNX formats
46 
Serve InSPyReNet
Deploy InSPyReNet for salient object segmentation as a REST API service
44 
Train Mouse Action Recognition
Train your own models on custom data for mouse action recognition with MVD
30 
Preprocess Data for Mouse Action Recognition
Prepares training data to use in train mouse action recognition app
29 
Synthetic videos for tracking
Synthesize videos on annotated data
23 
Serve Transfiner
Deploy Transfiner for instance segmentation as a REST API service
12 
Serve SelfReformer
Deploy SelfReformer for salient object segmentation as a REST API service
2 
Action Recognition
Label and Review videos for Action Recognition task
394 
Videos example
Videos example
Sample videos with labels
91 
Demo video pairs
Demo video pairs
Video pairs for multicamera labeling
20 
Multiview Video Sample Annotated
Multiview Video Sample Annotated
Sample project with 4 videos from different camera angles.
13 
Sugar Beet and Weed Multiview Video Segmentation Sample
Sugar Beet and Weed Multiview Video Segmentation Sample
Annotated multiview video sample project featuring tractor-mounted camera footage of sugar beet field in RGB and NIR spectrums. The video captures sugar beet seedlings and weeds, with each annotated as separate classes.
5 
Oriented BBox (OBB) Video Sample Annotated
Sample project featuring an annotated top-down video of a traffic intersection
3 
Pedestrian Crowd Tracking sample video project annotated
Pedestrian Crowd Tracking sample video project annotated
Annotated sample project with videos of pedestrian crowds, captured by a static camera.
2 
Highway Vehicle Tracking from Static Camera Video Sample Annotated
Highway Vehicle Tracking from Static Camera Video Sample Annotated
Annotated sample project with videos of moving vehicles captured by a static camera.
1 
Conveyor Belt Detection from Static Camera Video Sample Annotated
Conveyor Belt Detection from Static Camera Video Sample Annotated
Annotated sample project with videos of conveyor belt with moving suitcases and people passing by, captured by a static camera.
1 
Agro Field Tracking Video Sample Annotated
Agro Field Tracking Video Sample Annotated
Annotated sample project with drone footage of agricultural fields featuring tracked field boundaries, crop zones, roads, and tractor tracks.
1 
Construction Site Crew and Machinery Tracking sample video project annotated
Construction Site Crew and Machinery Tracking sample video project annotated
Annotated sample project with videos of construction site activities, featuring tracking of construction crew members and heavy machinery.
