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🔥 Most popular

The most popular applications among them all

289 results found
 1M+

Basic Image labeling tool

complete solution for image annotation

 353K+

Advanced Image labeling tool

complete solution for image annotation with advanced features

 159K+

Video labeling tool

complete solution for video annotation

 148K+

Import Images

Drag and drop images to Supervisely, supported formats: .jpg, .jpeg, jpe, .mpo, .bmp, .png, .tiff, .tif, .webp, .nrrd

 59K+

3D Point Cloud labeling tool

complete solution for LiDAR annotation with photo context

 38K+

Export as masks

For semantic and instance segmentation tasks

 28K+

Export to Supervisely format

images and JSON annotations

 27K+

3D Point Cloud Episodes labeling tool

complete solution for LiDAR episodes annotation with photo context

 23K+

Import images in Supervisely format

Images with corresponding annotations

 14K+

Import Videos

Import Videos without annotations to Supervisely

 12K+

DICOM labeling tool

complete solution for medical DICOM annotation

 9K+

Import Pointclouds PCD

Import pointclouds in PCD format without annotations

 9K+

Clone

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

 8K+

Convert Supervisely to YOLO v5 format

Transform project to YOLO v5 format and prepares tar archive for download

 6K+

Convert YOLO v5 to Supervisely format

Transform YOLO v5 format to supervisely project

 6K+

Export to COCO

Converts Supervisely to COCO format and prepares tar archive for download

 6K+

Export pointclouds project in Supervisely format

Export pointclouds project and prepares downloadable tar archive

 6K+

Export videos project in Supervisely format

Export videos project and prepares downloadable tar archive

 5K+

Import images from cloud storage

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

 5K+

Export only labeled items

Export only labeled items and prepares downloadable tar archive

 4K+

NN Image Labeling

Use deployed neural network in labeling interface

 4K+

Import Images from CSV

Upload images using .CSV file

 4K+

Train YOLOv5

Dashboard to configure and monitor training

 4K+

Apply NN to Images Project

NN Inference on images in project or dataset

 3K+

Import images with masks

Import images with binary masks as annotations

 3K+

Export to YOLOv8 format

Transform Supervisely format to YOLOv8 format

 2K+

Export to Pascal VOC

Converts Supervisely Project to Pascal VOC format

 2K+

Import videos from cloud storage

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

 2K+

Import COCO

Converts COCO format to Supervisely

 2K+

Import videos in Supervisely format

Import videos with annotations in Supervisely format

 2K+

Export activity as csv

Download activity as csv file

 2K+

Import Pointcloud Episodes

Import Pointcloud Episodes with Annotations and Photo context

 2K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Merge datasets

Merge selected datasets with images or videos into a single one

 2K+

Convert Class Shape

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

 2K+

Import dicom studies

Convert DICOM data to nrrd format and creates a new project with images grouped by selected metadata

 2K+

Train YOLOv8

Dashboard to configure, start and monitor YOLOv8 training

 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 Pointclouds PLY

Import pointclouds without annotations in .ply format from Team Files

 1K+

Assign train/val tags to images

Assigns tags (train/val) to images. Training apps will use these tags to split data.

 1K+

Import videos by URLs from txt file

Downloads videos by URLs and uploads them to Supervisely Storage

 1K+

Classes stats for images

Detailed statistics for all classes in images project

 1K+

Download images

Download images from project or dataset.

 1K+

Train MMDetection

Dashboard to configure, start and monitor training

 1K+

Filter images

Filters images and provides results in selected format

 1K+

Extract frames from videos

Read every n-th frame and save to images project

 1K+

Import DICOM Volumes

Import volumes in DICOM and NRRD formats without annotations

 1K+

Import Pascal VOC

Import public or custom data in Pascal VOC format to Supervisely

 1K+

Export Pointcloud Episodes in Supervisely format

Export project or dataset in Supervisely pointcloud episode format

 1K+

Merge classes

Merge multiple classes with same shape to a single one

 1K+

Train Detectron2

Dashboard to configure, start and monitor training

 1K+

Serve Segment Anything Model

Deploy model as REST API service

 1K+

Remote import

Connect your remote storage and import data without duplication. Data is stored on your server but visible in Supervisely

 1K+

Apply 3D Detection to Pointcloud Project

Run 3D Detection and tracking algorithm on pointclouds or pointcloud episodes project

 1K+

Import from Google Cloud Storage

Upload images by reading links (Google Cloud Storage) from CSV file

 998

Train MMSegmentation

Dashboard to configure, start and monitor training

 980

Create Trainset for SmartTool

Prepare training data for SmartTool

 973

Apply NN to Videos Project

Predictions on every frame are combined with DeepSort into tracks automatically

 959

AI assisted classification

Use neural network in labeling interface to classify images and objects

 959

Import Point Cloud Project

Import Point Cloud Project with Annotations and Photo context in Supervisely format

 916

Export Volumes with 3D Annotations

To Supervisely format, compatible with 3D Slicer, MITK

 884

While True Script

While True Script

Used to create infinite task for debug

 874

Export to DOTA

Export images in DOTA format and prepares downloadable archive

 868

TransT object tracking (CVPR2021)

TransT object tracking (CVPR2021)

serve and use in videos annotator

 864

Serve YOLOv8

Deploy YOLOv8 as REST API service

 844

Train UNet

Dashboard to configure, start and monitor training

 836

Serve MMDetection

Deploy model as REST API service

 808

Metric Learning Labeling Tool

Use metric learning models to classify images

 806

Export to KITTI 3D

Converts Supervisely Pointcloud format to KITTI 3D

 803

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 793

Copy project between instances

Copies images + annotations + images metadata

 787

Export to Cityscapes

Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive

 731

Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds

 715

Serve MMDetection3D

Deploy model as REST API service

 714

Serve Detectron2

Deploy model as REST API service

 668

Train MMClassification

Dashboard to configure, start and monitor training

 642

Render Video Labels to MP4

Creates presentation mp4 file based on labeled video

 615

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 603

Batched Smart Tool

Batched smart labeling tool for Images

 576

Diff and Merge Images Projects

Visual diff and merge tool helps compare images in two projects

 554

Diff and Merge Project Meta

Visual diff and merge tool helps compare project tags and classes

 543

Sliding window split

Configure, preview and split images and annotations with sliding window

 539

Train RITM

Dashboard to configure, start and monitor training

 527

Import Volumes in Supervisely format

Import Supervisely volumes project with annotations

 524

CSV Products Catalog to Images Project

Convert .CSV catalog to Images Project

 509

Import Cityscapes

Import Cityscapes to Supervisely

 489

Import KITTI 3D

Converts KITTI 3D format to Supervisely pointcloud format

 472

ilastik pixel classification

Image Pixel Classification using ilastik

 472

Serve OWL-ViT

Class-agnostic interactive detection for auto-prelabeling

 463

Object Size Stats

Detailed statistics and distribution of object sizes (width, height, area)

 461

Serve MMSegmentation

Deploy model as REST API service

 457

Labeling Jobs Stats

General statistics for all labeling jobs in team

 447

Mark attributed segments on multi-camera videos

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

 445

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

 433

Resize images

for both images and their annotations

 416

Split datasets

Split one or multiple datasets into parts

 413

Train MMDetection 3.0

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

 403

Train MMDetection3D

Dashboard to configure, start and monitor training

 390

Export COCO Keypoints

Converts Supervisely format to COCO Keypoints

 387

Video objects stats for every class

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

 387

Crop objects on images

Creates new project with cropped objects

 385

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 373

XMem Video Object Segmentation

Semi-supervised, works with both long and short videos

 366

Rasterize objects on images

Convert classes to bitmap and rasterize objects without intersections

 344

Serve MMClassification

Deploy model as REST API service

 344

Apply OWL-ViT To Images Project

Class-angnostic object detection model

 336

Objects thumbnail preview

Review images annotations object by object with ease

 302

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 301

Serve ViTPose

Deploy model as REST API service

 299

Classes co-occurrence matrix

Explore images for every combination of classes pairs in co-occurrence table

 299

Download image links in CSV

Download CSV file with download links for images

 281

Images project to videos project

Creates video project from images project

 278

Export Metadata

Export Images Metadata from Project

 277

Unpack AnyShape Classes

Split "AnyShape" classes to classes with strictly defined shapes (polygon, bitmap, ...)

 275

Jupyter datascience notebook

Run Jupyterlab server on your computer with Supervisely Agent and access it from anywhere

 266

Import images groups

Import images groups connected via user defined tag

 259

Serve UNet

Deploy model as REST API service

 259

Archive Projects to Dropbox

Archive old projects on community

 257

Convert Point Clouds project to Episodes

Creates sequence of connected point clouds with tracklets

 250

Interactive objects distribution

Explore images with certain number of objects of specific class

 246

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

 244

Visual Tagging

Assign tags to images using example images

 243

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

 242

Import LAS/LAZ format

Import LAS/LAZ format files to Supervisely 3D point cloud labeling tool

 238

Import Metadata

Import Metadata for Images in Project

 238

Review labels side-by-side

Filter objects and tags by user and copy them to working area

 218

Semantic Segmentation Metrics

Semantic Segmentation Metrics

interactive metrics analysis

 218

Object tags editor

Edit tags of each object on image

 212

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 209

Instance Segmentation Metrics

Interactive evaluation of your instance segmentation model

 204

Labeling exams

App for creating and managing annotation exams

 204

MixFormer object tracking (CVPR2022)

CVPR2022 SOTA video object tracking

 199

Volume Interpolation

ITK algorithms for volume interpolation

 198

Explore data with embeddings

Calculate and visualize embeddings

 194

Render video to compare projects

Put images with labels into collage and renders comparison videos

 188

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 185

Convert to semantic segmentation

Convert polygon and bitmap labels to semantic segmentation

 184

3D BBox Interpolation

Deploy interpolation method as REST API service

 181

Action Recognition Labeling Tool

Label videos for Action Recognition task

 178

Export YOLOv5 weights

to TorchScript and ONNX formats

 178

Data Nodes

[Beta] Drag and drop interface for building custom DataOps pipelines

 175

Pexels downloader

Downloads images from the Pexels to the dataset.

 174

Render video from images

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

 172

Prompt-based Image Filtering with CLIP

Filter and rank images by text prompts with CLIP models

 171

Mark segments on multi-camera videos

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

 170

Images thumbnail preview

Preview images as a grid gallery

 166

Batched Smart Tool for Videos

Batched smart labeling tool for Videos

 160

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

 156

Import KITTI-360

Import Pointcloud Episodes from KITTI-360 format

 156

Export items after review

Export items after the passing labeling job review

 152

Print Progress and Error

Print Progress and Error

Prints progress and then raises error

 152

Take fragment from video

Extract video fragment to selected project or dataset

 150

Import Volumes with 3D Masks

Import Volumes with .nrrd 3D Masks to Supervisely

 150

Export to COCO mask

Converts annotations from Supervisely to COCO format as RLE masks with preserving holes

 149

Classic Labeling Queues

Annotate Project using Queues

 147

Import COCO Keypoints

Converts COCO Keypoints format to Supervisely

 146

PIPs object tracking

Track points and polygons on videos

 142

Import volumes from cloud storage

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

 142

Rotate images

Rotates images along with the annotations in the dataset

 140

Image Classification Metrics

Evaluate your classification model

 139

Serve Metric Learning

Google landmarks challenge models

 132

Convert labels to rotated bboxes

Convert all labels in the project or dataset to rotated bounding boxes

 129

Labels spatial distribution

Build labels distribution heatmap for dataset.

 126

Create JSON with reference items

Objects with specific tag will be treated as reference items

 126

Group nested objects

Binds nested objects into groups

 124

Apply Object Segmentor to Images Project

Label project images using object segmentor

 119

Sliding window merge

Merge images and labels that were split by sliding window before

 116

Import YouTube videos

Import videos by urls provided in text file

 112

Tag images by dataset name

Add dataset name tag to all images in project or dataset

 111

Labeling Consensus

Compare annotations of multiple labelers

 106

Labeling Events Stats

Total number of labeling actions and annotated unique images in a time interval

 106

Create foreground mask

Create foreground mask from alpha channel of image

 104

AI Recommendations

Recommends matching items from the catalog

 100

Objects Interpolation on video

Track polygons, rectangles and points using linear interpolation

 96

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 93

Unpack key value tags

Rename "Key:Value" tags to key_value (fruit: lemon -> fruit_lemon)

 90

Render previews GUI

Service to render annotations on the fly and show them in Supervisely Dashboard

 87

Export project to cloud storage

Export project to Google Cloud Storage, Amazon S3, Microsoft Azure, ...

 86

Develop and Debug

Develop and Debug

Used to create infinite task for debug

 83

Change video framerate

Change video framerate with preserving duration (recodes video)

 82

Embeddings Calculator

Calculate embeddings for images project

 81

YouTube Downloader

Downloads and trim video from Youtube.

 80

Merge Image Projects

Merge multiple image projects into a single one

 72

TAP-Net object tracking

Track points and polygons on videos

 72

MMOCR Inference

Text Detection and Recognition on images

 70

Tags co-occurrence matrix

Explore images for every combination of tags pairs in co-occurrence table

 69

Tags to image URLs

Saves tag to images mapping to a json file

 67

Project 3D statistics

Detailed statistics for all classes in pointcloud or episodes project

 65

Labeling Consensus for Videos

Compare annotations of multiple labelers

 63

Labeler First Time Through

First Time Through ratio shows how many items labeler annotated right the first time (i.e. reviewer accepted his work on first round).

 63

Labelbox to Supervisely Migration Tool

Convert and copy multiple Labelbox projects into Supervisely at once.

 62

Add properties to image from CSV

Match image tag with CSV columns and add row values to image

 62

Serve HRDA

Deploy HRDA model for inference

 61

Hello World!

Demonstrates how to turn your python script into Supervisely App

 61

Cleaner

Remove temporary files from Team files

 60

Copy team between instances

Copy team from one Supervisely Instance to another (including workspaces, team members and team files)

 59

Train YOLOv5 2.0

Dashboard to configure, start and monitor YOLOv5 2.0 training

 55

Copy image tags to objects

Tags and object classes can be customized

 55

MBPTrack 3D Point Cloud Tracking

Deploy MBPTrack as REST API service