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images

234 results found
 1M+

Advanced Image labeling tool

complete solution for image annotation with advanced features

 1M+

Basic Image labeling tool

complete solution for image annotation

 155K+

Import Images

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

 44K+

Export as masks

For semantic and instance segmentation tasks

 42K+

Export to Supervisely format

images and JSON annotations

 25K+

Import images in Supervisely format

Images with corresponding annotations

 18K+

Clone

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

 13K+

Convert Supervisely to YOLO v5 format

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

 10K+

Export to COCO

Converts Supervisely to COCO format and prepares tar archive for download

 9K+

Export to YOLOv8 format

Transform Supervisely format to YOLOv8 format

 7K+

Export only labeled items

Export only labeled items and prepares downloadable tar archive

 7K+

Train YOLOv8 | v9 | v10 | v11

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

 7K+

NN Image Labeling

Use deployed neural network in labeling interface

 7K+

Apply NN to Images Project

NN Inference on images in project or dataset

 7K+

Convert YOLO v5 to Supervisely format

Transform YOLO v5 format to supervisely project

 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

 4K+

Export to Pascal VOC

Converts Supervisely Project to Pascal VOC format

 4K+

Download images

Download images from project or dataset.

 3K+

Serve YOLOv8 | v9 | v10 | v11

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

 3K+

Merge datasets

Merge selected datasets with images or videos into a single one

 3K+

Convert Class Shape

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

 3K+

Export activity as csv

Download activity as csv file

 3K+

Import COCO

Converts COCO format to Supervisely

 2K+

Videos project to images project

Creates images project from video project

 2K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Assign train/val tags to images

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

 2K+

RITM interactive segmentation SmartTool

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

 2K+

Import DICOM studies

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

 2K+

Train MMSegmentation

Dashboard to configure, start and monitor training

 2K+

Metric Learning Labeling Tool

Use metric learning models to classify images

 2K+

Filter images

Filters images and provides results in selected format

 1K+

Serve Segment Anything Model

Deploy model as REST API service

 1K+

ML Pipelines

Drag and drop interface for building custom DataOps pipelines

 1K+

Train MMDetection 3.0

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

 1K+

Classes stats for images

Detailed statistics for all classes in images project

 1K+

Merge classes

Merge multiple classes with same shape to a single one

 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+

Export COCO Keypoints

Converts Supervisely format to COCO Keypoints

 1K+

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 1K+

Serve Segment Anything 2.1

Deploy SAM 2 model as REST API service

 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+

Train UNet

Dashboard to configure, start and monitor training

 1K+

Train MMClassification

Dashboard to configure, start and monitor training

 1K+

AI assisted classification

Use neural network in labeling interface to classify images and objects

 1K+

Serve MMSegmentation

Deploy model as REST API service

 1K+

Create Trainset for SmartTool

Prepare training data for SmartTool

 1K+

Serve MMDetection

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+

Export to DOTA

Export images in DOTA format and prepares downloadable archive

 1K+

Import from Google Cloud Storage

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

 1K+

Copy project between instances

Copies images + annotations + images metadata

 985

Serve OWL-ViT

Class-agnostic interactive detection for auto-prelabeling

 945

Split datasets

Split one or multiple datasets into parts

 935

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 922

Train RITM

Dashboard to configure, start and monitor training

 903

Export to Cityscapes

Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive

 898

Sliding window split

Configure, preview and split images and annotations with sliding window

 892

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 878

Download image links in CSV

Download CSV file with download links for images

 869

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 854

Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds

 822

Serve Detectron2

Deploy model as REST API service

 785

CSV Products Catalog to Images Project

Convert .CSV catalog to Images Project

 777

Crop objects on images

Creates new project with cropped objects

 773

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

 767

Batched Smart Tool

Batched smart labeling tool for Images

 740

Export to COCO mask

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

 702

Apply OWL-ViT To Images Project

Class-angnostic object detection model

 698

Evaluator for Model Benchmark

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

 632

Diff and Merge Images Projects

Visual diff and merge tool helps compare images in two projects

 624

Serve MMClassification

Deploy model as REST API service

 615

Resize images

for both images and their annotations

 604

Diff and Merge Project Meta

Visual diff and merge tool helps compare project tags and classes

 590

Serve ViTPose

Deploy model as REST API service

 577

Object Size Stats

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

 551

Rasterize objects on images

Convert classes to bitmap and rasterize objects without intersections

 550

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 536

Import Cityscapes

Import Cityscapes to Supervisely

 532

Import Metadata

Import Metadata for Images in Project

 520

Serve Metric Learning

Google landmarks challenge models

 507

ilastik pixel classification

Image Pixel Classification using ilastik

 504

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

 496

Export Items After Review

Export items after the passing labeling job review

 475

Embeddings Calculator

Calculate embeddings for images project

 464

AI Recommendations

Recommends matching items from the catalog

 433

Pexels downloader

Downloads images and videos from Pexels.

 402

Explore data with embeddings

Calculate and visualize embeddings

 389

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

 367

Visual Tagging

Assign tags to images using example images

 365

Serve UNet

Deploy model as REST API service

 359

Unpack AnyShape Classes

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

 355

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

 352

Object tags editor

Edit tags of each object on image

 351

Instance Segmentation Metrics

Interactive evaluation of your instance segmentation model

 348

Objects thumbnail preview

Review images annotations object by object with ease

 345

Convert to semantic segmentation

Convert polygon and bitmap labels to semantic segmentation

 345

Merge Image Projects

Merge multiple image projects into a single one

 344

Export Metadata

Export Images Metadata from Project

 341

Classes co-occurrence matrix

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

 338

Import Multiview Image Groups

Import multiview image groups connected via user defined tag

 332

Tags to object classes

Create new object classes from tags associated with objects

 330

Anonymize Data

App to obscure data on images and videos

 324

Images project to videos project

Creates video project from images project

 324

Rotate images

Rotates images along with the annotations in the dataset

 313

Roboflow to Supervisely Migration Tool

Convert and copy multiple Roboflow projects into Supervisely at once.

 312

Semantic Segmentation Metrics

Semantic Segmentation Metrics

interactive metrics analysis

 305

Serve RT-DETRv2

Deploy RT-DETRv2 as a REST API service

 305

Train RT-DETRv2

Train RT-DETRv2 model on your data

 277

Train YOLO v8 - v12

Train YOLO models on your data

 272

Sliding window merge

Merge images and labels that were split by sliding window before

 269

Interactive objects distribution

Explore images with certain number of objects of specific class

 266

Review labels side-by-side

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

 263

Prompt-based Image Filtering with CLIP

Filter and rank images by text prompts with CLIP models

 262

Create JSON with reference items

Objects with specific tag will be treated as reference items

 260

Image Classification Metrics

Evaluate your classification model

 256

Render video from images

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

 248

Apply Object Segmentor to Images Project

Label project images using object segmentor

 247

Convert labels to rotated bboxes

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

 227

Export YOLOv5 weights

to TorchScript and ONNX formats

 216

Export project to cloud storage

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

 215

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 215

Tag images by dataset name

Add dataset name tag to all images in project or dataset

 198

Render video to compare projects

Put images with labels into collage and renders comparison videos

 191

Import COCO Keypoints

Converts COCO Keypoints format to Supervisely

 191

Train YOLOv5 2.0

Dashboard to configure, start and monitor YOLOv5 2.0 training

 188

Fine-tune Segment Anything 2.1

Dashboard for SAM 2.1 fine-tuning

 185

Images thumbnail preview

Preview images as a grid gallery

 180

Labels spatial distribution

Build labels distribution heatmap for dataset.

 166

Serve YOLO v8 - v12

Deploy YOLO models as a REST API service

 151

Group nested objects

Binds nested objects into groups

 149

Labeling Consensus

Compare annotations of multiple labelers

 147

Create foreground mask

Create foreground mask from alpha channel of image

 146

Train MMClassification V2 (MMPretrain)

Dashboard to configure, start and monitor training

 133

Import PDF as Images

Drag and drop PDFs to import pages as images to Supervisely

 129

Serve HRDA

Deploy HRDA model for inference

 123

Import Multispectral Images

Import multispectral images as channels or as separate images.

 119

MMOCR Inference

Text Detection and Recognition on images

 117

Conveyor Belt Auto Tracking

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

 113

Unpack key value tags

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

 113

Train DEIM

Train DEIM model on your data

 112

Import CVAT

Import images and videos with annotations in CVAT format.

 105

Train RT-DETR

Train RT-DETR model on your data

 102

Group Images for Multiview Labeling

No description available

 100

Tags to image URLs

Saves tag to images mapping to a json file

 99

Add properties to image from CSV

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

 99

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 96

Labelbox to Supervisely Migration Tool

Convert and copy multiple Labelbox projects into Supervisely at once.

 93

Tags co-occurrence matrix

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

 85

Merge Tags

Merge Tags in videos or images project

 83

Serve YOLOv5 2.0

Deploy YOLOv5 2.0 as REST API service

 82

Mark Reference Objects for Retail

Mark Reference Objects for Retail

Prepare examples for products from catalog

 80

Sample images from project

Sample images from project with different methods

 79

Predict App

This app applies neural networks to images. It supports various neural network tasks such as object detection, semantic segmentation, and instance segmentation.

 77

Annotation Validator

Validate annotations in a project

 77

Export to Supervisely format: Blob

Export images project to extended Supervisely format with Blobs

 76

Apply Florence-2 + SAM 2 to Images Project

Text-Prompted Object Detection with Mask Segmentation

 71

Import image projects in Supervisely format from cloud storage

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

 68

Transfer Assets between Instances

Transfer and filter assets(images) between Supervisely instances

 67

Serve Florence-2

Deploy Florence-2 as a REST API service

 65

Copy image tags to objects

Tags and object classes can be customized

 65

Perspective transform using QR code

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

 64

Real-time Labeling Quality Check

Automated real-time annotation tests.

 59

V7 to Supervisely Migration Tool

Convert and copy multiple V7 datasets into Supervisely at once.

 58

Create project from template

Create a new empty project with a meta of original project

 57

Serve IS-Net

Deploy model as REST API service

 53

Stable diffusion UI

Run Stable Diffusion model with User Interface

 52

Slice volume

Slice volumes to 2d images

 52

Multiview Object Matching

Propagate bboxes to multiview images group

 50

Review Image Annotations in Batches

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

 49

Object classes to tags

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

 49

Flickr downloader

Downloads images from the Flickr to the dataset.

 48

Serve DEIM

Deploy DEIM as a REST API service

 47

CVAT to Supervisely Migration Tool

Convert and copy multiple CVAT projects into Supervisely at once.

 45

Import V7

Import images and videos with annotations in V7 format.

 45

Export YOLOv8 weights

to TorchScript and ONNX formats

 43

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

 41

Serve MMClassification V2 (MMPretrain)

Deploy model as REST API service

 39

Serve Matte Anything

Deploy Matte Anything as REST API service

 38

Serve RT-DETR

Deploy RT-DETR as a REST API service

 33

Apply VIAME

Apply pretrained models for underwater species detection

 33

Object Classification Metrics

Evaluate your classification model in Detector + Classifier Pipeline

 30

Movie genre from its poster

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

 29

Visualize Image Updates

Application that visualizes the most recently updated images

 29

Serve Grounding DINO

Deploy Grounding DINO as a REST API service

 28

Anomaly Sorter

Application based on Supervisely Solution engine for sorting all possible anomalies and automatically tagging only accepted anomalies.

 25

Download Project Meta

Download project meta of Supervisely project for any modality.

 18

Retail Tagging

Retail Tagging

Supports multi-user mode

 18

Serve Kosmos-2

Deploy Kosmos-2 as a REST API service

 15

Serve Transfiner

Deploy Transfiner for instance segmentation as a REST API service

 11

Merge Multispectral Images

Merge multispectral images into one

 8

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

 8

Compare Models

Compare Models

Compare the results of different model evaluations

 7

Train SparseInst

Dashboard to configure, start and monitor SparseInst training

 5

Review Retail Tags

Review Retail Tags

Review and correct tags (supports multi-user mode)

 3

Serve Molmo

Deploy Molmo as a REST API service