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The latest tools that help you and your team build software better, together.

112 results found

Images thumbnail preview
app

Preview images as a grid gallery

Objects thumbnail preview
app

Review images annotations object by object with ease

Export pointcloud episodes in supervisely format
app

Export project or dataset in Supervisely pointcloud episode format

Import pointcloud episodes in supervisely format
app

With annotations and photo context

Import KITTI 3D
app

Converts KITTI 3D format to Supervisely pointcloud format

Export to KITTI 3D
app

Converts Supervisely Pointcloud format to KITTI 3D

Crop objects on images
app

Creates new project with cropped objects

3D BBox Interpolation
app

Deploy interpolation method as REST API service

RITM interactive segmentation SmartTool GPU
app

State of the art object segmentation model in Labeleing Interface

TransT object tracking (CVPR2021) GPU
app

serve and use in videos annotator

Object detection metrics
app

Interactive Confusion matrix, mAP, ROC and more

PascalVOC Predictions (Sample)
project

1171 sample prediction images from PascalVOC dataset

PascalVOC Ground Truth (Sample)
project

1171 sample ground truth images from PascalVOC dataset

Images project to videos project
app

Creates video project from images project

Render video from images
app

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

Export to COCO
app

Converts Supervisely to COCO format and prepares tar archive for download

UNet collection
collection

Training, inference, data exploration, synthetic data, and more

Serve UNet GPU
app

Deploy model as REST API service

Train UNet GPU
app

Dashboard to configure, start and monitor training

Synthetic videos for tracking
app

Synthesize videos on annotated data

Convert Video Class Shape
app

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

Import Pascal VOC
app

Import public or custom data in Pascal VOC format to Supervisely

Classification collection
collection

Training, inference, ai-assisted labeling, synthetic data and more

Serve MMClassification GPU
app

Deploy model as REST API service

Train MMClassification GPU
app

Dashboard to configure, start and monitor training

Export YOLOv5 weights
app

to TorchScript and ONNX formats

Import images from cloud storage
app

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

AI assisted classification
app

Use neural network in labeling interface to classify images and objects

Tags to image URLs
app

Saves tag to images mapping to a json file

Unpack key value tags
app

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

Import LAS format
app

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

Review labels side-by-side
app

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

ilastik pixel classification
app

Image Pixel Classification using ilastik

Export activity as csv
app

Download activity as csv file

Import Cityscapes
app

Import Cityscapes to Supervisely

Invite users to team from CSV
app

Invite users to team

Export to Supervisely format
app

images and JSON annotations

Export only labeled items
app

Export only labeled items and prepares downloadable tar archive

Export as masks
app

For semantic segmentation task

Merge datasets
app

Merge selected datasets with images or videos into a single one

Resize images
app

for both images and their annotations

Import videos from cloud storage
app

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

Export Metadata
app

Export Images Metadata from Project

Import Metadata
app

Import Metadata for Images in Project

Export to Cityscapes
app

Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive

Export to Pascal VOC
app

Converts Supervisely Project to Pascal VOC format

ImgAug Studio
app

Visualize and build augmentation pipeline with ImgAug

Synthetic retail products
app

Generate synthetic data for classification of retail products on grocery shelves

Grocery store shelves
project

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

Snacks catalog
project

Labeled images: snacks: chips / crisps / mix

Sliding window merge
app

Merge images and labels that were split by sliding window before

Sliding window split
app

Configure, preview and split images and annotations with sliding window

YOLOv5 collection
collection

All you need to work with YOLOv5

Flying objects
app

Generate synthetic data: flying foregrounds on top of backgrounds

Seeds
project

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

Visual Tagging
app

Assign tags to images using example images

Cats quiz
project

What breed is this cat? demo for visual tagging app

Top 10 cat breeds
project

Tag (name of breed) is assigned to every image

Create foreground mask
app

Create foreground mask from alpha channel of image

Images with alpha channel
project

Illustrates alpha support in Supervisely

Serve YOLOv5 GPU
app

Deploy model as REST API service

Train YOLOv5 GPU
app

Dashboard to configure and monitor training

NN Image Labeling
app

Use deployed neural network in labeling interface

Apply NN to images project
app

NN Inference on images in project or dataset

Demo Images
project

17 unlabeled images for quick tests

Review Retail Tags
app

Review and correct tags (supports multi-user mode)

Retail Tagging
app

Supports multi-user mode

Mark Reference Objects for Retail
app

Prepare examples for products from catalog

Extract frames from videos
app

Read every n-th frame and save to images project

Tags co-occurrence matrix
app

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

Movie genre from its poster
app

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

While True Script
app

Used to create infinite task for debug

Import videos by URLs from txt file
app

Downloads videos by URLs and uploads them to Supervisely Storage

Diff and Merge Images Projects
app

Visual diff and merge tool helps compare images in two projects

Diff and Merge Project Meta
app

Visual diff and merge tool helps compare project tags and classes

Classes co-occurrence matrix
app

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

Copy project between instances
app

Copies images + annotations + images metadata

Render Video Labels to MP4
app

Creates presentation mp4 file based on labeled video

Video objects stats for every class
app

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

Group reference objects into batches
app

Group items by selected columns from CSV catalog

Videos project to images project
app

Creates images project from video project

Create JSON with reference items
app

Objects with specific tag will be treated as reference items

Copy image tags to objects
app

Tags and object classes can be customized

Add properties to image from CSV
app

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

Convert YOLO v5 to Supervisely format
app

Transform YOLO v5 format to supervisely project

Convert Supervisely to YOLO v5 format
app

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

Create users from CSV
app

Only instance admin has permissions to run it

App Template (No GUI)
app

template for your headless app

Remote import
app

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

Assign train/val tags to images
app

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

Labeler First Time Through
app

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

Labeling Events Stats
app

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

Import from Google Cloud Storage
app

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

Labeling Jobs Stats
app

General statistics for all labeling jobs in team

Create Trainset for SmartTool
app

Prepare training data for SmartTool

Object Size Stats
app

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

Classes stats for images
app

Detailed statistics for all classes in images project

Merge classes
app

Merge multiple classes with same shape to a single one

Rasterize objects on images
app

Convert classes to bitmap and rasterize objects without intersections

Lemons (Annotated)
project

6 images with annotated lemons and kiwifruits

Lemons (Test)
project

Sample images project without labels

Print Progress and Error
app

Prints progress and then raises error

Videos example
project

Sample videos with labels

Unpack AnyShape Classes
app

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

Convert Class Shape
app

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

Hello World App
app

Working demo, use it as a template for your custom apps

Roads (Test)
project

156 unlabeled images with roads

While True App
app

nocode app that ignores soft stop

Country Roads
project

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

Persons
project

Image project with person instances

Roads (Annotated)
project

10 images with labeled road

Country Roads (Test)
project

594 unlabeled images