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videos

75 results found
Ā 144K+

Video labeling tool

complete solution for video annotation

Ā 13K+

Import Videos

Import Videos without annotations to Supervisely

Ā 8K+

Clone

Clone project or dataset to selected workspace or project, works with all project types: images / videos / 3d / dicom

Ā 6K+

Export videos project in Supervisely format

Export videos project and prepares downloadable tar archive

Ā 4K+

Export only labeled items

Export only labeled items and prepares downloadable tar archive

Ā 4K+

Train YOLOv5

Dashboard to configure and monitor training

Ā 2K+

Import videos from cloud storage

Import videos from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)

Ā 2K+

Import videos in Supervisely format

Import videos with annotations in Supervisely format

Ā 2K+

Serve YOLOv5

Deploy model as REST API service

Ā 1K+

Import videos by URLs from txt file

Downloads videos by URLs and uploads them to Supervisely Storage

Ā 1K+

Videos project to images project

Creates images project from video project

Ā 1K+

RITM interactive segmentation SmartTool

State-of-the art object segmentation model in Labeling Interface

Ā 1K+

Train MMDetection

Dashboard to configure, start and monitor training

Ā 1K+

Extract frames from videos

Read every n-th frame and save to images project

Ā 1K+

Train Detectron2

Dashboard to configure, start and monitor training

Ā 900

Train MMSegmentation

Dashboard to configure, start and monitor training

Ā 880

Apply NN to Videos Project

Predictions on every frame are combined with DeepSort into tracks automatically

Ā 832

TransT object tracking (CVPR2021)

TransT object tracking (CVPR2021)

serve and use in videos annotator

Ā 829

Serve Segment Anything Model

Deploy model as REST API service

Ā 814

Serve MMDetection

Deploy model as REST API service

Ā 808

Train UNet

Dashboard to configure, start and monitor training

Ā 658

Serve Detectron2

Deploy model as REST API service

Ā 603

Render Video Labels to MP4

Creates presentation mp4 file based on labeled video

Ā 559

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

Ā 440

Train RITM

Dashboard to configure, start and monitor training

Ā 421

Serve MMSegmentation

Deploy model as REST API service

Ā 404

Mark attributed segments on multi-camera videos

Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view

Ā 365

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

Ā 343

Video objects stats for every class

The number of objects, figures and frames for every class for every dataset

Ā 333

Split datasets

Split one or multiple datasets into parts

Ā 331

Train MMDetection 3.0

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

Ā 290

XMem Video Object Segmentation

Semi-supervised, works with both long and short videos

Ā 259

Images project to videos project

Creates video project from images project

Ā 243

Serve UNet

Deploy model as REST API service

Ā 194

Render video to compare projects

Put images with labels into collage and renders comparison videos

Ā 173

Action Recognition Labeling Tool

Label videos for Action Recognition task

Ā 170

Export YOLOv5 weights

to TorchScript and ONNX formats

Ā 170

Render video from images

Creates video from images in dataset with selected frame rate and configurable label opacity

Ā 169

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

Ā 169

Mark segments on multi-camera videos

Tag segments (begin and end) on single or multiple videos in dual-panel view

Ā 165

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

Ā 155

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

Ā 147

MixFormer object tracking (CVPR2022)

CVPR2022 SOTA video object tracking

Ā 144

PIPs object tracking

Track points and polygons on videos

Ā 142

Classic Labeling Queues

Annotate Project using Queues

Ā 141

Batched Smart Tool for Videos

Batched smart labeling tool for Videos

Ā 134

Take fragment from video

Extract video fragment to selected project or dataset

Ā 98

Import YouTube videos

Import videos by urls provided in text file

Ā 89

Objects Interpolation on video

Track polygons, rectangles and points using linear interpolation

Ā 89

Export items after review

Export items after the passing labeling job review

Ā 79

YouTube Downloader

Downloads and trim video from Youtube.

Ā 76

Change video framerate

Change video framerate with preserving duration (recodes video)

Ā 71

TAP-Net object tracking

Track points and polygons on videos

Ā 55

Labelbox to Supervisely Migration Tool

Convert and copy multiple Labelbox projects into Supervisely at once.

Ā 51

Import Videos from Team Files

Import selected videos from Team Files to selected destination

Ā 51

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

Ā 47

Labeling Consensus for Videos

Compare annotations of multiple labelers

Ā 44

Action Recognition Stats Tool

Analyse videos labeled for Action Recognition task

Ā 44

Merge Tags

Merge Tags in videos or images project

Ā 41

Convert Video Class Shape

Converts shapes of classes on videos (e.g. polygon to bitmap) and all corresponding objects

Ā 37

Create project from template

Create a new empty project with a meta of original project

Ā 37

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

Ā 28

[beta] Serve OpenCV

[beta] Serve OpenCV

serve and use in videos annotator

Ā 25

Synthetic videos for tracking

Synthesize videos on annotated data

Ā 18

Serve HRDA

Deploy HRDA model for inference

Ā 14

Import CVAT

Import images and videos with annotations in CVAT format.

Ā 12

Serve Transfiner

Deploy Transfiner for instance segmentation as a REST API service

Ā 9

CVAT to Supervisely Migration Tool

Convert and copy multiple CVAT projects into Supervisely at once.

Ā 7

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

Ā 3

CoTracker object tracking

Track points, polygons and skeletons (keypoints) on videos

Ā 2

Action Recognition

Label and Review videos for Action Recognition task

Ā 2

Import V7

Import images and videos with annotations in V7 format.

Ā 2

V7 to Supervisely Migration Tool

Convert and copy multiple V7 datasets into Supervisely at once.

Ā 184

Videos example

Videos example

Sample videos with labels

Ā 61

Demo video pairs

Demo video pairs

Video pairs for multicamera labeling