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images

193 results found
 1M+

Basic Image labeling tool

complete solution for image annotation

 477K+

Advanced Image labeling tool

complete solution for image annotation with advanced features

 153K+

Import Images

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

 40K+

Export as masks

For semantic and instance segmentation tasks

 30K+

Export to Supervisely format

images and JSON annotations

 24K+

Import images in Supervisely format

Images with corresponding annotations

 11K+

Clone

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

 9K+

Convert Supervisely to YOLO v5 format

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

 7K+

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

 5K+

Export only labeled items

Export only labeled items and prepares downloadable tar archive

 5K+

NN Image Labeling

Use deployed neural network in labeling interface

 5K+

Import images from cloud storage

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

 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

 4K+

Export to YOLOv8 format

Transform Supervisely format to YOLOv8 format

 4K+

Import images with masks

Import images with binary masks as annotations

 3K+

Train YOLO (v8, v9)

Dashboard to configure, start and monitor YOLO (v8, v9) training

 3K+

Export to Pascal VOC

Converts Supervisely Project to Pascal VOC format

 2K+

Import COCO

Converts COCO format to Supervisely

 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+

Export activity as csv

Download activity as csv file

 2K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Import DICOM studies

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

 2K+

Download images

Download images from project or dataset.

 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

 1K+

Assign train/val tags to images

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

 1K+

Classes stats for images

Detailed statistics for all classes in images project

 1K+

Filter images

Filters images and provides results in selected format

 1K+

Serve YOLO (v8, v9)

Deploy YOLO (v8, v9) as REST API service

 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+

Import Pascal VOC

Import public or custom data in Pascal VOC format to Supervisely

 1K+

Merge classes

Merge multiple classes with same shape to a single one

 1K+

Train MMSegmentation

Dashboard to configure, start and monitor training

 1K+

Train Detectron2

Dashboard to configure, start and monitor training

 1K+

AI assisted classification

Use neural network in labeling interface to classify images and objects

 1K+

Remote import

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

 1K+

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 1K+

Import from Google Cloud Storage

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

 1K+

Create Trainset for SmartTool

Prepare training data for SmartTool

 954

Export to DOTA

Export images in DOTA format and prepares downloadable archive

 938

Serve MMDetection

Deploy model as REST API service

 932

Train MMClassification

Dashboard to configure, start and monitor training

 921

Train UNet

Dashboard to configure, start and monitor training

 832

Export to Cityscapes

Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive

 825

Copy project between instances

Copies images + annotations + images metadata

 821

Metric Learning Labeling Tool

Use metric learning models to classify images

 763

Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds

 763

Train MMDetection 3.0

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

 746

Serve Detectron2

Deploy model as REST API service

 705

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 662

Batched Smart Tool

Batched smart labeling tool for Images

 645

Export COCO Keypoints

Converts Supervisely format to COCO Keypoints

 625

Train RITM

Dashboard to configure, start and monitor training

 618

Serve OWL-ViT

Class-agnostic interactive detection for auto-prelabeling

 606

Sliding window split

Configure, preview and split images and annotations with sliding window

 598

Serve MMSegmentation

Deploy model as REST API service

 591

Diff and Merge Images Projects

Visual diff and merge tool helps compare images in two projects

 585

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

 559

Diff and Merge Project Meta

Visual diff and merge tool helps compare project tags and classes

 531

CSV Products Catalog to Images Project

Convert .CSV catalog to Images Project

 515

Import Cityscapes

Import Cityscapes to Supervisely

 492

Split datasets

Split one or multiple datasets into parts

 483

Resize images

for both images and their annotations

 477

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 475

Object Size Stats

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

 475

ilastik pixel classification

Image Pixel Classification using ilastik

 473

Serve MMClassification

Deploy model as REST API service

 465

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 446

Crop objects on images

Creates new project with cropped objects

 419

Rasterize objects on images

Convert classes to bitmap and rasterize objects without intersections

 406

Download image links in CSV

Download CSV file with download links for images

 405

Apply OWL-ViT To Images Project

Class-angnostic object detection model

 401

Serve ViTPose

Deploy model as REST API service

 399

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 337

Objects thumbnail preview

Review images annotations object by object with ease

 307

Import images groups

Import images groups connected via user defined tag

 304

Classes co-occurrence matrix

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

 304

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

 299

Export Metadata

Export Images Metadata from Project

 291

Images project to videos project

Creates video project from images project

 286

Serve UNet

Deploy model as REST API service

 285

Unpack AnyShape Classes

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

 281

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

 276

Visual Tagging

Assign tags to images using example images

 272

Instance Segmentation Metrics

Interactive evaluation of your instance segmentation model

 269

Import Metadata

Import Metadata for Images in Project

 256

Interactive objects distribution

Explore images with certain number of objects of specific class

 255

Object tags editor

Edit tags of each object on image

 247

Review labels side-by-side

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

 238

Explore data with embeddings

Calculate and visualize embeddings

 230

Export to COCO mask

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

 227

Semantic Segmentation Metrics

Semantic Segmentation Metrics

interactive metrics analysis

 227

Convert to semantic segmentation

Convert polygon and bitmap labels to semantic segmentation

 225

Export items after review

Export items after the passing labeling job review

 211

Export YOLOv5 weights

to TorchScript and ONNX formats

 208

Image Classification Metrics

Evaluate your classification model

 199

Pexels downloader

Downloads images from the Pexels to the dataset.

 195

Render video to compare projects

Put images with labels into collage and renders comparison videos

 192

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 189

Rotate images

Rotates images along with the annotations in the dataset

 183

Render video from images

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

 181

Prompt-based Image Filtering with CLIP

Filter and rank images by text prompts with CLIP models

 178

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

 174

Images thumbnail preview

Preview images as a grid gallery

 170

Roboflow to Supervisely Migration Tool

Convert and copy multiple Roboflow projects into Supervisely at once.

 169

Merge Image Projects

Merge multiple image projects into a single one

 168

Convert labels to rotated bboxes

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

 167

Import COCO Keypoints

Converts COCO Keypoints format to Supervisely

 153

Create JSON with reference items

Objects with specific tag will be treated as reference items

 147

Tag images by dataset name

Add dataset name tag to all images in project or dataset

 143

Labels spatial distribution

Build labels distribution heatmap for dataset.

 143

Group nested objects

Binds nested objects into groups

 142

Serve Metric Learning

Google landmarks challenge models

 140

Apply Object Segmentor to Images Project

Label project images using object segmentor

 125

Create foreground mask

Create foreground mask from alpha channel of image

 124

Sliding window merge

Merge images and labels that were split by sliding window before

 115

Labeling Consensus

Compare annotations of multiple labelers

 110

AI Recommendations

Recommends matching items from the catalog

 96

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 96

Embeddings Calculator

Calculate embeddings for images project

 95

Unpack key value tags

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

 92

Train YOLOv5 2.0

Dashboard to configure, start and monitor YOLOv5 2.0 training

 90

Anonymize Data

App to obscure data on images and videos

 88

Export project to cloud storage

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

 82

MMOCR Inference

Text Detection and Recognition on images

 77

Tags to image URLs

Saves tag to images mapping to a json file

 75

Serve HRDA

Deploy HRDA model for inference

 73

Tags co-occurrence matrix

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

 73

Import PDF as Images

Drag and drop PDFs to import pages as images to Supervisely

 71

Labelbox to Supervisely Migration Tool

Convert and copy multiple Labelbox projects into Supervisely at once.

 70

Add properties to image from CSV

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

 65

Import CVAT

Import images and videos with annotations in CVAT format.

 60

Transfer Assets between Instances

Transfer and filter assets(images) between Supervisely instances

 60

Import image projects in Supervisely format from cloud storage

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

 59

Group Images for Multiview Labeling

No description available

 58

Serve YOLOv5 2.0

Deploy YOLOv5 2.0 as REST API service

 57

Import Multispectral Images

Import multispectral images as channels or as separate images.

 56

Merge Tags

Merge Tags in videos or images project

 55

Copy image tags to objects

Tags and object classes can be customized

 54

Serve IS-Net

Deploy model as REST API service

 50

Slice volume

Slice volumes to 2d images

 50

Create project from template

Create a new empty project with a meta of original project

 45

Tags to object classes

Create new object classes from tags associated with objects

 44

Stable diffusion UI

Run Stable Diffusion model with User Interface

 42

Perspective transform using QR code

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

 39

Object classes to tags

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

 39

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

 37

Flickr downloader

Downloads images from the Flickr to the dataset.

 36

Mark Reference Objects for Retail

Mark Reference Objects for Retail

Prepare examples for products from catalog

 34

V7 to Supervisely Migration Tool

Convert and copy multiple V7 datasets into Supervisely at once.

 30

Movie genre from its poster

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

 29

Import V7

Import images and videos with annotations in V7 format.

 24

Object Classification Metrics

Evaluate your classification model in Detector + Classifier Pipeline

 23

Apply VIAME

Apply pretrained models for underwater species detection

 20

CVAT to Supervisely Migration Tool

Convert and copy multiple CVAT projects into Supervisely at once.

 18

Sample images from project

Sample images from project with different methods

 14

Serve Transfiner

Deploy Transfiner for instance segmentation as a REST API service

 13

Retail Tagging

Retail Tagging

Supports multi-user mode

 13

Visualize Image Updates

Application that visualizes the most recently updated images

 11

Export YOLOv8 weights

to TorchScript and ONNX formats

 8

Serve Matte Anything

Deploy Matte Anything as REST API service

 7

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

 2

Review Retail Tags

Review Retail Tags

Review and correct tags (supports multi-user mode)

 773

Lemons (Annotated)

Lemons (Annotated)

6 images with annotated lemons and kiwifruits

 524

Persons

Persons

Image project with person instances

 304

Lemons (Test)

Lemons (Test)

Sample images project without labels

 264

Snacks catalog

Snacks catalog

Labeled images: snacks: chips / crisps / mix

 169

Demo Images

Demo Images

17 unlabeled images for quick tests

 159

Country Roads

Country Roads

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

 82

Roads (Test)

Roads (Test)

156 unlabeled images with roads

 72

Grocery store shelves

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

 69

Top 10 cat breeds

Top 10 cat breeds

Tag (name of breed) is assigned to every image

 67

Roads (Annotated)

Roads (Annotated)

10 images with labeled road

 63

Country Roads (Test)

Country Roads (Test)

594 unlabeled images

 52

Tomatoes (Annotated)

Tomatoes (Annotated)

Project with 66 annotated tomatoes (424 images)

 34

Seeds

Seeds

Unlabeled images: sunflower / pumpkin (peeled + unpeeled) / mix

 34

PascalVOC GT Masks (Sample)

PascalVOC GT Masks (Sample)

726 sample gt-labeled images

 31

Cracks Synthetic Dataset

Synthetic dataset for cracks segmentation

 29

PascalVOC GT BBoxes (Sample)

PascalVOC GT BBoxes (Sample)

1171 sample gt-labeled images

 28

Train dataset - Insulator-Defect Detection

For object detection tutorials

 20

Cats quiz

Cats quiz

What breed is this cat? demo for visual tagging app

 20

PascalVOC PRED BBoxes (Sample)

PascalVOC PRED BBoxes (Sample)

1171 sample prediction-labeled images

 13

Train dataset - Eschikon Wheat Segmentation (EWS)

Images of wheat for training and validation

 12

PascalVOC PRED Masks (Sample)

PascalVOC PRED Masks (Sample)

726 sample pred-labeled images

 12

Test dataset - Insulator-Defect Detection

For object detection tutorials

 10

Images with alpha channel

Images with alpha channel

Illustrates alpha support in Supervisely

 10

Test dataset - Eschikon Wheat Segmentation (EWS)

Wheat images for test