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images

130 results found
 811K+

Basic Image labeling tool

complete solution for image annotation

 165K+

Advanced Image labeling tool

complete solution for image annotation with advanced features

 114K+

Import Images

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

 35K+

Export as masks

For semantic and instance segmentation tasks

 17K+

Import images in Supervisely format

Images with corresponding annotations

 19K+

Export to Supervisely format

images and JSON annotations

 2K+

Train YOLOv5

Dashboard to configure and monitor training

 1K+

Serve YOLOv5

Deploy model as REST API service

 1K+

Classes stats for images

Detailed statistics for all classes in images project

 4K+

Import images from cloud storage

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

 3K+

RITM interactive segmentation SmartTool

State of the art object segmentation model in Labeleing Interface

 3K+

Import Images from CSV

Upload images using .CSV file

 4K+

Convert YOLO v5 to Supervisely format

Transform YOLO v5 format to supervisely project

 4K+

Convert Supervisely to YOLO v5 format

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

 1K+

Convert Class Shape

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

 1K+

Apply NN to Images Project

NN Inference on images in project or dataset

 745

Create Trainset for SmartTool

Prepare training data for SmartTool

 2K+

Export YOLOv5 weights

to TorchScript and ONNX formats

 1K+

Videos project to images project

Creates images project from video project

 1K+

NN Image Labeling

Use deployed neural network in labeling interface

 3K+

Export to COCO

Converts Supervisely to COCO format and prepares tar archive for download

 366

Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds

 1K+

Batched Smart Tool

Batched smart labeling tool for Images

 2K+

Export to Pascal VOC

Converts Supervisely Project to Pascal VOC format

 1K+

Import dicom studies

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

 1K+

Assign train/val tags to images

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

 1K+

Train MMClassification

Dashboard to configure, start and monitor training

 630

Merge classes

Merge multiple classes with same shape to a single one

 1K+

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 1K+

Remote import

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

 285

Object Size Stats

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

 981

Import from Google Cloud Storage

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

 369

Extract frames from videos

Read every n-th frame and save to images project

 225

Classes co-occurrence matrix

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

 1K+

Merge datasets

Merge selected datasets with images or videos into a single one

 981

Resize images

for both images and their annotations

 2K+

Import images with masks

Import images with binary masks as annotations

 273

Train MMSegmentation

Dashboard to configure, start and monitor training

 249

Sliding window split

Configure, preview and split images and annotations with sliding window

 292

Train UNet

Dashboard to configure, start and monitor training

 882

Add properties to image from CSV

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

 657

Train MMDetection

Dashboard to configure, start and monitor training

 314

ilastik pixel classification

Image Pixel Classification using ilastik

 392

AI assisted classification

Use neural network in labeling interface to classify images and objects

 254

Diff and Merge Images Projects

Visual diff and merge tool helps compare images in two projects

 823

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 186

Rasterize objects on images

Convert classes to bitmap and rasterize objects without intersections

 271

Diff and Merge Project Meta

Visual diff and merge tool helps compare project tags and classes

 428

Filter images

Filters images and provides results in selected format

 751

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 297

Train Detectron2

Dashboard to configure, start and monitor training

 191

Serve Detectron2

Deploy model as REST API service

 169

Interactive objects distribution

Explore images with certain number of objects of specific class

 1K+

Export activity as csv

Download activity as csv file

 677

Create JSON with reference items

Objects with specific tag will be treated as reference items

 658

Copy image tags to objects

Tags and object classes can be customized

 378

Import COCO

Converts COCO format to Supervisely

 2K+

Export only labeled items

Export only labeled items and prepares downloadable tar archive

 222

Images project to videos project

Creates video project from images project

 615

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 179

Unpack AnyShape Classes

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

 460

Copy project between instances

Copies images + annotations + images metadata

 1K+

Import Pascal VOC

Import public or custom data in Pascal VOC format to Supervisely

 592

Import Metadata

Import Metadata for Images in Project

 584

Serve MMClassification

Deploy model as REST API service

 570

Create foreground mask

Create foreground mask from alpha channel of image

 564

Visual Tagging

Assign tags to images using example images

 276

Serve MMDetection

Deploy model as REST API service

 148

Crop objects on images

Creates new project with cropped objects

 523

Sliding window merge

Merge images and labels that were split by sliding window before

 481

Semantic Segmentation Metrics

Semantic Segmentation Metrics

interactive metrics analysis

 270

Objects thumbnail preview

Review images annotations object by object with ease

 113

Serve UNet

Deploy model as REST API service

 461

Tags co-occurrence matrix

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

 459

Movie genre from its poster

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

 457

Review labels side-by-side

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

 199

Metric Learning Labeling Tool

Use metric learning models to classify images

 349

CSV Products Catalog to Images Project

Convert .CSV catalog to Images Project

 116

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

 133

Serve MMSegmentation

Deploy model as REST API service

 701

Export to Cityscapes

Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive

 388

Images thumbnail preview

Preview images as a grid gallery

 118

Export Metadata

Export Images Metadata from Project

 99

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

 79

Render video from images

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

 85

Train RITM

Dashboard to configure, start and monitor training

 70

AI Recommendations

Recommends matching items from the catalog

 307

Embeddings Calculator

Calculate embeddings for images project

 306

Render video to compare projects

Put images with labels into collage and renders comparison videos

 288

Import images groups

Import images groups connected via user defined tag

 80

Unpack key value tags

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

 380

Import Cityscapes

Import Cityscapes to Supervisely

 259

Labels spatial distribution

Build labels distribution heatmap for dataset.

 246

Tags to image URLs

Saves tag to images mapping to a json file

 241

Serve Metric Learning

Google landmarks challenge models

 211

Export to DOTA

Export images in DOTA format and prepares downloadable archive

 35

Explore data with embeddings

Calculate and visualize embeddings

 73

Export project to cloud storage

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

 30

Convert to semantic segmentation

Convert polygon and bitmap labels to semantic segmentation

 136

Object tags editor

Edit tags of each object on image

 125

Convert labels to rotated bboxes

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

 113

Perspective transform using QR code

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

 106

Tags to object classes

Create new object classes from tags associated with objects

 97

Split datasets

Split one or multiple datasets into parts

 24

Tag images by dataset name

Add dataset name tag to all images in project or dataset

 82

Group nested objects

Binds nested objects into groups

 77

Object classes to tags

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

 76

Classification metrics

Evaluate your classification model

 14

Import COCO Keypoints

Converts COCO Keypoints format to Supervisely

 10

Mark Reference Objects for Retail

Mark Reference Objects for Retail

Prepare examples for products from catalog

 8

Retail Tagging

Retail Tagging

Supports multi-user mode

 1

Review Retail Tags

Review Retail Tags

Review and correct tags (supports multi-user mode)

 4K+

Persons

Persons

Image project with person instances

 1K+

Country Roads

Country Roads

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

 893

Lemons (Annotated)

Lemons (Annotated)

6 images with annotated lemons and kiwifruits

 792

Country Roads (Test)

Country Roads (Test)

594 unlabeled images

 720

Grocery store shelves

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

 689

Roads (Annotated)

Roads (Annotated)

10 images with labeled road

 616

Lemons (Test)

Lemons (Test)

Sample images project without labels

 465

Seeds

Seeds

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

 460

Cats quiz

Cats quiz

What breed is this cat? demo for visual tagging app

 439

PascalVOC GT BBoxes (Sample)

PascalVOC GT BBoxes (Sample)

1171 sample gt-labeled images

 411

Images with alpha channel

Images with alpha channel

Illustrates alpha support in Supervisely

 382

Roads (Test)

Roads (Test)

156 unlabeled images with roads

 375

Snacks catalog

Snacks catalog

Labeled images: snacks: chips / crisps / mix

 343

Top 10 cat breeds

Top 10 cat breeds

Tag (name of breed) is assigned to every image

 328

Demo Images

Demo Images

17 unlabeled images for quick tests

 74

PascalVOC GT Masks (Sample)

PascalVOC GT Masks (Sample)

726 sample gt-labeled images

 63

PascalVOC PRED BBoxes (Sample)

PascalVOC PRED BBoxes (Sample)

1171 sample prediction-labeled images

 50

PascalVOC PRED Masks (Sample)

PascalVOC PRED Masks (Sample)

726 sample pred-labeled images