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videos

78 results found
 179K+

Video labeling tool

complete solution for video annotation

 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

 943

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 904

Serve MMDetection

Deploy model as REST API service

 882

TransT object tracking (CVPR2021)

TransT object tracking (CVPR2021)

serve and use in videos annotator

 869

Train UNet

Dashboard to configure, start and monitor training

 723

Serve Detectron2

Deploy model as REST API service

 659

Render Video Labels to MP4

Creates presentation mp4 file based on labeled video

 583

Train RITM

Dashboard to configure, start and monitor training

 574

Train MMDetection 3.0

Training dashboard for mmdetection framework (v3.0.0 and above).

 491

Serve MMSegmentation

Deploy model as REST API service

 474

Split datasets

Split one or multiple datasets into parts

 470

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

 441

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

 362

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 313

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 289

Images project to videos project

Creates video project from images project

 289

MixFormer object tracking (CVPR2022)

CVPR2022 SOTA video object tracking

 275

Serve UNet

Deploy model as REST API service

 200

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

 178

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

 161

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

 104

Objects Interpolation on video

Track polygons, rectangles and points using linear interpolation

 104

Apply NN to video frames

Apply NN models to video frames

 95

Change video framerate

Change video framerate with preserving duration (recodes video)

 82

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

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

 33

CoTracker object tracking

Track points, polygons and skeletons (keypoints) on videos

 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