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images

212 results found
 1M+

Basic Image labeling tool

complete solution for image annotation

 1M+

Advanced Image labeling tool

complete solution for image annotation with advanced features

 155K+

Import Images

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

 42K+

Export as masks

For semantic and instance segmentation tasks

 36K+

Export to Supervisely format

images and JSON annotations

 25K+

Import images in Supervisely format

Images with corresponding annotations

 15K+

Clone

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

 11K+

Convert Supervisely to YOLO v5 format

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

 9K+

Export to COCO

Converts Supervisely to COCO format and prepares tar archive for download

 7K+

Convert YOLO v5 to Supervisely format

Transform YOLO v5 format to supervisely project

 7K+

Export to YOLOv8 format

Transform Supervisely format to YOLOv8 format

 7K+

Export only labeled items

Export only labeled items and prepares downloadable tar archive

 6K+

NN Image Labeling

Use deployed neural network in labeling interface

 6K+

Train YOLOv8 | v9 | v10 | v11

Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training

 6K+

Apply NN to Images Project

NN Inference on images in project or dataset

 5K+

Import images from cloud storage

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

 5K+

Train YOLOv5

Dashboard to configure and monitor training

 4K+

Import Images from CSV

Upload images using .CSV file

 4K+

Import images with masks

Import images with binary masks as annotations

 3K+

Export to Pascal VOC

Converts Supervisely Project to Pascal VOC format

 3K+

Download images

Download images from project or dataset.

 3K+

Convert Class Shape

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

 3K+

Merge datasets

Merge selected datasets with images or videos into a single one

 2K+

Import COCO

Converts COCO format to Supervisely

 2K+

Export activity as csv

Download activity as csv file

 2K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Serve YOLOv8 | v9 | v10 | v11

Deploy YOLOv8 | v9 | v10 | v11 as REST API service

 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+

Assign train/val tags to images

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

 2K+

Import DICOM studies

Creates project with images grouped by selected metadata, converting DICOM data to NRRD format in the process.

 2K+

Metric Learning Labeling Tool

Use metric learning models to classify images

 1K+

Train MMSegmentation

Dashboard to configure, start and monitor training

 1K+

Filter images

Filters images and provides results in selected format

 1K+

Classes stats for images

Detailed statistics for all classes in images project

 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+

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+

Merge classes

Merge multiple classes with same shape to a single one

 1K+

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 1K+

Import Pascal VOC

Import public or custom data in Pascal VOC format to Supervisely

 1K+

Train Detectron2

Dashboard to configure, start and monitor training

 1K+

Export COCO Keypoints

Converts Supervisely format to COCO Keypoints

 1K+

AI assisted classification

Use neural network in labeling interface to classify images and objects

 1K+

Train UNet

Dashboard to configure, start and monitor training

 1K+

Train MMClassification

Dashboard to configure, start and monitor training

 1K+

Remote import

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

 1K+

Create Trainset for SmartTool

Prepare training data for SmartTool

 1K+

Serve MMSegmentation

Deploy model as REST API service

 1K+

Import from Google Cloud Storage

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

 1K+

Export to DOTA

Export images in DOTA format and prepares downloadable archive

 1K+

Serve MMDetection

Deploy model as REST API service

 920

Copy project between instances

Copies images + annotations + images metadata

 885

Export to Cityscapes

Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive

 854

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 840

Train RITM

Dashboard to configure, start and monitor training

 837

Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds

 830

Serve OWL-ViT

Class-agnostic interactive detection for auto-prelabeling

 809

Serve Detectron2

Deploy model as REST API service

 786

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 775

CSV Products Catalog to Images Project

Convert .CSV catalog to Images Project

 762

Batched Smart Tool

Batched smart labeling tool for Images

 762

Split datasets

Split one or multiple datasets into parts

 745

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 732

Sliding window split

Configure, preview and split images and annotations with sliding window

 703

Crop objects on images

Creates new project with cropped objects

 687

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

 661

Download image links in CSV

Download CSV file with download links for images

 661

Serve Segment Anything 2.1

Deploy SAM 2 model as REST API service

 611

Diff and Merge Images Projects

Visual diff and merge tool helps compare images in two projects

 589

Apply OWL-ViT To Images Project

Class-angnostic object detection model

 584

Diff and Merge Project Meta

Visual diff and merge tool helps compare project tags and classes

 577

Serve MMClassification

Deploy model as REST API service

 562

Object Size Stats

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

 547

Resize images

for both images and their annotations

 524

Import Cityscapes

Import Cityscapes to Supervisely

 523

Export to COCO mask

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

 522

Rasterize objects on images

Convert classes to bitmap and rasterize objects without intersections

 518

Import Metadata

Import Metadata for Images in Project

 500

ilastik pixel classification

Image Pixel Classification using ilastik

 499

Serve ViTPose

Deploy model as REST API service

 492

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 478

Evaluator for Model Benchmark

Evaluate the performance of the NN model and compare it with the results of other models

 451

Serve Metric Learning

Google landmarks challenge models

 431

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

 403

Embeddings Calculator

Calculate embeddings for images project

 370

AI Recommendations

Recommends matching items from the catalog

 361

Explore data with embeddings

Calculate and visualize embeddings

 351

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

 346

Objects thumbnail preview

Review images annotations object by object with ease

 342

Export Items After Review

Export items after the passing labeling job review

 338

Visual Tagging

Assign tags to images using example images

 331

Classes co-occurrence matrix

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

 330

Export Metadata

Export Images Metadata from Project

 329

Tags to object classes

Create new object classes from tags associated with objects

 328

Unpack AnyShape Classes

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

 326

Import Multiview Image Groups

Import multiview image groups connected via user defined tag

 325

Serve UNet

Deploy model as REST API service

 319

Images project to videos project

Creates video project from images project

 319

Instance Segmentation Metrics

Interactive evaluation of your instance segmentation model

 317

Object tags editor

Edit tags of each object on image

 314

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

 312

Merge Image Projects

Merge multiple image projects into a single one

 306

Convert to semantic segmentation

Convert polygon and bitmap labels to semantic segmentation

 287

Semantic Segmentation Metrics

Semantic Segmentation Metrics

interactive metrics analysis

 273

Pexels downloader

Downloads images from the Pexels to the dataset.

 268

Interactive objects distribution

Explore images with certain number of objects of specific class

 260

Anonymize Data

App to obscure data on images and videos

 258

Review labels side-by-side

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

 249

Create JSON with reference items

Objects with specific tag will be treated as reference items

 245

Roboflow to Supervisely Migration Tool

Convert and copy multiple Roboflow projects into Supervisely at once.

 241

Prompt-based Image Filtering with CLIP

Filter and rank images by text prompts with CLIP models

 238

Rotate images

Rotates images along with the annotations in the dataset

 226

Export YOLOv5 weights

to TorchScript and ONNX formats

 225

Convert labels to rotated bboxes

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

 224

Image Classification Metrics

Evaluate your classification model

 209

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 203

Render video from images

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

 201

Apply Object Segmentor to Images Project

Label project images using object segmentor

 198

Render video to compare projects

Put images with labels into collage and renders comparison videos

 191

Train YOLOv5 2.0

Dashboard to configure, start and monitor YOLOv5 2.0 training

 187

Import COCO Keypoints

Converts COCO Keypoints format to Supervisely

 184

Images thumbnail preview

Preview images as a grid gallery

 180

Sliding window merge

Merge images and labels that were split by sliding window before

 159

Tag images by dataset name

Add dataset name tag to all images in project or dataset

 158

Labels spatial distribution

Build labels distribution heatmap for dataset.

 148

Group nested objects

Binds nested objects into groups

 139

Create foreground mask

Create foreground mask from alpha channel of image

 135

Export project to cloud storage

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

 126

Labeling Consensus

Compare annotations of multiple labelers

 110

Import Multispectral Images

Import multispectral images as channels or as separate images.

 109

Unpack key value tags

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

 107

Serve HRDA

Deploy HRDA model for inference

 101

MMOCR Inference

Text Detection and Recognition on images

 98

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 98

Group Images for Multiview Labeling

No description available

 95

Labelbox to Supervisely Migration Tool

Convert and copy multiple Labelbox projects into Supervisely at once.

 94

Add properties to image from CSV

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

 93

Tags to image URLs

Saves tag to images mapping to a json file

 89

Import PDF as Images

Drag and drop PDFs to import pages as images to Supervisely

 88

Tags co-occurrence matrix

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

 88

Train RT-DETR

Train RT-DETR model on your data

 84

Import CVAT

Import images and videos with annotations in CVAT format.

 83

Serve YOLOv5 2.0

Deploy YOLOv5 2.0 as REST API service

 81

Mark Reference Objects for Retail

Mark Reference Objects for Retail

Prepare examples for products from catalog

 78

Merge Tags

Merge Tags in videos or images project

 68

Transfer Assets between Instances

Transfer and filter assets(images) between Supervisely instances

 66

Import image projects in Supervisely format from cloud storage

Import image projects in Supervisely format from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)

 65

Copy image tags to objects

Tags and object classes can be customized

 57

Sample images from project

Sample images from project with different methods

 57

Conveyor Belt Auto Tracking

Effortlessly track and interpolate labeled objects on a conveyor belt in real-time

 54

Create project from template

Create a new empty project with a meta of original project

 54

Serve IS-Net

Deploy model as REST API service

 52

Slice volume

Slice volumes to 2d images

 48

Stable diffusion UI

Run Stable Diffusion model with User Interface

 47

Object classes to tags

Convert each class name to tag associated with objects, and merge existing classes into single one

 47

Train RT-DETRv2

Train RT-DETRv2 model on your data

 46

Real-time Labeling Quality Check

Automated real-time annotation tests.

 45

Review Image Annotations in Batches

Allows you to review annotation results in a user interface specifically designed for such tasks

 44

Annotation Validator

Validate annotations in a project

 43

Perspective transform using QR code

This app perspective transforms and warps your images using qr code in them.

 43

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

 41

Flickr downloader

Downloads images from the Flickr to the dataset.

 41

Apply Florence-2 + SAM 2 to Images Project

Text-Prompted Object Detection with Mask Segmentation

 40

V7 to Supervisely Migration Tool

Convert and copy multiple V7 datasets into Supervisely at once.

 36

Export YOLOv8 weights

to TorchScript and ONNX formats

 36

Multiview Object Matching

Propagate bboxes to multiview images group

 32

Import V7

Import images and videos with annotations in V7 format.

 30

Movie genre from its poster

Application imports kaggle dataset 'Movie genre from its poster' as supervisely project

 30

Object Classification Metrics

Evaluate your classification model in Detector + Classifier Pipeline

 29

CVAT to Supervisely Migration Tool

Convert and copy multiple CVAT projects into Supervisely at once.

 27

Visualize Image Updates

Application that visualizes the most recently updated images

 26

Apply VIAME

Apply pretrained models for underwater species detection

 26

Serve Florence-2

Deploy Florence-2 as a REST API service

 24

Serve Matte Anything

Deploy Matte Anything as REST API service

 19

Serve RT-DETR

Deploy RT-DETR as a REST API service

 18

Retail Tagging

Retail Tagging

Supports multi-user mode

 15

Serve Transfiner

Deploy Transfiner for instance segmentation as a REST API service

 12

Serve Grounding DINO

Deploy Grounding DINO as a REST API service

 11

Serve RT-DETRv2

Deploy RT-DETRv2 as a REST API service

 10

Serve Kosmos-2

Deploy Kosmos-2 as a REST API service

 8

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

 6

Fine-tune Segment Anything 2.1

Dashboard for SAM 2.1 fine-tuning

 3

Review Retail Tags

Review Retail Tags

Review and correct tags (supports multi-user mode)

 2

Serve Molmo

Deploy Molmo as a REST API service

CLAHE Filter visualizer

Real-time CLAHE filter visualization

 975

Lemons (Annotated)

Lemons (Annotated)

6 images with annotated lemons and kiwifruits

 621

Persons

Persons

Image project with person instances

 342

Lemons (Test)

Lemons (Test)

Sample images project without labels

 277

Snacks catalog

Snacks catalog

Labeled images: snacks: chips / crisps / mix

 189

Demo Images

Demo Images

17 unlabeled images for quick tests

 170

Country Roads

Country Roads

Labeled roads (sample: 100 images, full version: 1000 images)

 90

Roads (Test)

Roads (Test)

156 unlabeled images with roads

 80

Top 10 cat breeds

Top 10 cat breeds

Tag (name of breed) is assigned to every image

 79

Grocery store shelves

Labeled images of products on the shelve: snacks, chips, crisps

 71

Roads (Annotated)

Roads (Annotated)

10 images with labeled road

 66

Country Roads (Test)

Country Roads (Test)

594 unlabeled images

 56

Tomatoes (Annotated)

Tomatoes (Annotated)

Project with 66 annotated tomatoes (424 images)

 46

Train dataset - Insulator-Defect Detection

For object detection tutorials