155K+ 
Import Images
Drag and drop images to Supervisely, supported formats: .jpg, .jpeg, jpe, .mpo, .bmp, .png, .tiff, .tif, .webp, .nrrd
apps
Apps help you extend functionality with custom UI
301 results found
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
15K+ 
Import Videos
Import Videos without annotations to Supervisely
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
10K+ 
Export to YOLOv8 format
Transform Supervisely format to YOLOv8 format
10K+ 
Import Pointclouds PCD
Import pointclouds in PCD format without annotations
8K+ 
Export videos project in Supervisely format
Export videos project and prepares downloadable tar archive
8K+ 
Train YOLOv8 | v9 | v10 | v11
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training
7K+ 
Apply NN to Images Project
NN Inference on images in project or dataset
7K+ 
Export only labeled items
Export only labeled items and prepares downloadable tar archive
7K+ 
NN Image Labeling
Use deployed neural network in labeling interface
7K+ 
Convert YOLO v5 to Supervisely format
Transform YOLO v5 format to supervisely project
7K+ 
Export pointclouds project in Supervisely format
Export pointclouds project and prepares downloadable tar archive
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+ 
Export activity as csv
Download activity as csv file
3K+ 
Convert Class Shape
Converts shapes of classes (e.g. polygon to bitmap) and all corresponding objects
3K+ 
Import COCO
Converts COCO format to Supervisely
2K+ 
Videos project to images project
Creates images project from video project
2K+ 
Import videos from cloud storage
Import videos from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)
2K+ 
Serve YOLOv5
Deploy model as REST API service
2K+ 
Import videos in Supervisely format
Import videos with annotations in Supervisely format
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 Pointcloud Episodes
Import Pointcloud Episodes with Annotations and Photo context
2K+ 
Train MMSegmentation
Dashboard to configure, start and monitor training
2K+ 
Import DICOM studies
Creates project with images grouped by selected metadata, converting DICOM data to NRRD format in the process.
2K+ 
Import DICOM Volumes
Import volumes in DICOM and NRRD formats without annotations
2K+ 
Metric Learning Labeling Tool
Use metric learning models to classify images
2K+ 
Filter images
Filters images and provides results in selected format
2K+ 
ML Pipelines
Drag and drop interface for building custom DataOps pipelines
2K+ 
Serve Segment Anything Model
Deploy model as REST API service
1K+ 
Classes stats for images
Detailed statistics for all classes in images project
1K+ 
Train MMDetection 3.0
Training dashboard for mmdetection framework (v3.0.0 and above).
1K+ 
Export Pointcloud Episodes in Supervisely format
Export project or dataset in Supervisely pointcloud episode format
1K+ 
Import Pointclouds PLY
Import pointclouds without annotations in .ply format from Team Files
1K+ 
Merge classes
Merge multiple classes with same shape to a single one
1K+ 
Apply NN to Videos Project
Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically
1K+ 
Import videos by URLs from txt file
Downloads videos by URLs and uploads them to Supervisely Storage
1K+ 
Export COCO Keypoints
Converts Supervisely format to COCO Keypoints
1K+ 
Extract frames from videos
Read every n-th frame and save to images project
1K+ 
Train MMDetection
Dashboard to configure, start and monitor training
1K+ 
Serve ClickSEG
Deploy ClickSEG models for interactive instance segmentation
1K+ 
Export Volumes with 3D Annotations
To Supervisely format, compatible with 3D Slicer, MITK
1K+ 
Serve Segment Anything 2.1
Deploy SAM 2 model as REST API service
1K+ 
Apply 3D Detection to Pointcloud Project
Run 3D Detection and tracking algorithm on pointclouds or pointcloud episodes project
1K+ 
Import Pascal VOC
Import public or custom data in Pascal VOC format to Supervisely
1K+ 
Jupyter datascience notebook
Run Jupyterlab server on your computer with Supervisely Agent and access it from anywhere
1K+ 
Train Detectron2
Dashboard to configure, start and monitor training
1K+ 
Train UNet
Dashboard to configure, start and monitor training
1K+ 
Export to KITTI 3D
Converts Supervisely Pointcloud format to KITTI 3D
1K+ 
Train MMClassification
Dashboard to configure, start and monitor training
1K+ 
While True Script
While True Script
Used to create infinite task for debug
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+ 
Video objects stats for every class
The number of objects, figures and frames for every class for every dataset
1K+ 
Import Point Cloud Project
Import Point Cloud Project with Annotations and Photo context in Supervisely format
1K+ 
Copy project between instances
Copies images + annotations + images metadata
1K+ 
Serve OWL-ViT
Class-agnostic interactive detection for auto-prelabeling
992 
Sliding window split
Configure, preview and split images and annotations with sliding window
984 
Split datasets
Split one or multiple datasets into parts
973 
Train RITM
Dashboard to configure, start and monitor training
963 
ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
960 
TransT object tracking (CVPR2021)
TransT object tracking (CVPR2021)
serve and use in videos annotator
958 
Serve MMDetection3D
Deploy model as REST API service
907 
Export to Cityscapes
Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive
902 
Serve Segment Anything in High Quality
Run HQ-SAM and then use in labeling tool
895 
Download image links in CSV
Download CSV file with download links for images
888 
Auto Track
Tracking settings for video annotation tool
884 
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
837 
XMem Video Object Segmentation
Semi-supervised, works with both long and short videos
822 
Serve Detectron2
Deploy model as REST API service
822 
Export to COCO mask
Converts annotations from Supervisely to COCO format as RLE masks with preserving holes
819 
Render Video Labels to MP4
Creates presentation mp4 file based on labeled video
808 
MixFormer object tracking
CVPR2022 SOTA video object tracking
797 
Crop objects on images
Creates new project with cropped objects
789 
CSV Products Catalog to Images Project
Convert .CSV catalog to Images Project
789 
Apply Classifier to Images Project
Apply Classifier to Images Project
label project images or objects using NN
768 
Batched Smart Tool
Batched smart labeling tool for Images
734 
Apply OWL-ViT To Images Project
Class-angnostic object detection model
717 
Evaluator for Model Benchmark
Evaluate the performance of the NN model and compare it with the results of other models
645 
Resize images
for both images and their annotations
640 
Diff and Merge Images Projects
Visual diff and merge tool helps compare images in two projects
625 
Serve MMClassification
Deploy model as REST API service
616 
Import KITTI 3D
Converts KITTI 3D format to Supervisely pointcloud format
611 
Diff and Merge Project Meta
Visual diff and merge tool helps compare project tags and classes
601 
Serve ViTPose
Deploy model as REST API service
582 
Object Size Stats
Detailed statistics and distribution of object sizes (width, height, area)
576 
Import Volumes in Supervisely format
Import Supervisely volumes project with annotations
558 
Object detection metrics
Interactive Confusion matrix, mAP, ROC and more
553 
Rasterize objects on images
Convert classes to bitmap and rasterize objects without intersections
536 
Import Cityscapes
Import Cityscapes to Supervisely
533 
Import Metadata
Import Metadata for Images in Project
530 
Export Items After Review
Export items after the passing labeling job review
522 
Serve Metric Learning
Google landmarks challenge models
522 
Apply Detection and Pose Estimation Models to Images Project
Label project images using detector and pose estimator
514 
Train MMDetection3D
Dashboard to configure, start and monitor training
507 
ilastik pixel classification
Image Pixel Classification using ilastik
491 
Labeling Jobs Stats
General statistics for all labeling jobs in team
477 
Embeddings Calculator
Calculate embeddings for images project
477 
Mark attributed segments on multi-camera videos
Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view
472 
Apply NN to video frames
Apply NN models to video frames
470 
AI Recommendations
Recommends matching items from the catalog
On-the-Fly Quality Assurance
Get instant DatasetNinja statistics for your project
459 
Pexels downloader
Downloads images and videos from Pexels.
408
Develop and Debug
Develop and Debug
Used to create infinite task for debug
407 
Explore data with embeddings
Calculate and visualize embeddings
389 
Train HRDA
Train HRDA model for segmentation in semi-supervised mode
379 
Unpack AnyShape Classes
Split "AnyShape" classes to classes with strictly defined shapes (polygon, bitmap, ...)
374 
Labeling exams
App for creating and managing annotation exams
369 
Serve UNet
Deploy model as REST API service
368 
Visual Tagging
Assign tags to images using example images
366 
Sliding window merge
Merge images and labels that were split by sliding window before
361 
Apply Detection and Classification Models to Images Project
Label project images using detector and classify predicted boxes
357 
Import Multiview Image Groups
Import multiview image groups connected via user defined tag
357 
Instance Segmentation Metrics
Interactive evaluation of your instance segmentation model
356 
Merge Image Projects
Merge multiple image projects into a single one
354 
Object tags editor
Edit tags of each object on image
350 
Convert to semantic segmentation
Convert polygon and bitmap labels to semantic segmentation
349 
Objects thumbnail preview
Review images annotations object by object with ease
347 
Export Metadata
Export Images Metadata from Project
343 
Classes co-occurrence matrix
Explore images for every combination of classes pairs in co-occurrence table
340 
Train RT-DETRv2
Train RT-DETRv2 model on your data
339 
Train YOLO v8 - v12
Train YOLO models on your data
336 
Rotate images
Rotates images along with the annotations in the dataset
333 
Tags to object classes
Create new object classes from tags associated with objects
332 
Semantic Segmentation Metrics
Semantic Segmentation Metrics
interactive metrics analysis
331 
Anonymize Data
App to obscure data on images and videos
328 
3D BBox Interpolation
Deploy interpolation method as REST API service
326 
Images project to videos project
Creates video project from images project
318 
Serve RT-DETRv2
Deploy RT-DETRv2 as a REST API service
317 
Roboflow to Supervisely Migration Tool
Convert and copy multiple Roboflow projects into Supervisely at once.
297 
Volume Interpolation
ITK algorithms for volume interpolation
292 
Convert Point Clouds project to Episodes
Creates sequence of connected point clouds with tracklets
290 
Render previews GUI
Service to render annotations on the fly and show them in Supervisely
283 
Import LAS/LAZ format
Import LAS/LAZ format files to Supervisely 3D point cloud labeling tool
279 
Review labels side-by-side
Filter objects and tags by user and copy them to working area
271 
Convert labels to rotated bboxes
Convert all labels in the project or dataset to rotated bounding boxes
270 
Interactive objects distribution
Explore images with certain number of objects of specific class
268 
Serve YOLO v8 - v12
Deploy YOLO models as a REST API service
267 
Image Classification Metrics
Evaluate your classification model
266 
Prompt-based Image Filtering with CLIP
Filter and rank images by text prompts with CLIP models
265 
Create JSON with reference items
Objects with specific tag will be treated as reference items
265 
Render video from images
Creates video from images in dataset with selected frame rate and configurable label opacity
260 
Archive Projects to Dropbox
Archive old projects on community
253 
Apply Object Segmentor to Images Project
Label project images using object segmentor
252 
Export project to cloud storage
Export project to Google Cloud Storage, Amazon S3, Microsoft Azure, ...
249 
Action Recognition Labeling Tool
Label videos for Action Recognition task
239 
Mouse action recognition
Mouse action recognition
Mouse action recognition with RT-DETRv2 and MVD
236 
Train DEIMv2
Train DEIMv2 models on your data
230 
Tag images by dataset name
Add dataset name tag to all images in project or dataset
227 
Export YOLOv5 weights
to TorchScript and ONNX formats
227 
Export Point Clouds to ROS Bag
Export Pointclouds and Pointcloud episodes to ROS Bag format
222 
Change video framerate
Change video framerate with preserving duration (recodes video)
219 
Fine-tune Segment Anything 2.1
Dashboard for SAM 2.1 fine-tuning
215 
EiSeg interactive segmentation SmartTool
SmartTool integration of Efficient Interactive Segmentation (EISeg)
215 
Batched Smart Tool for Videos
Batched smart labeling tool for Videos
212 
Classic Labeling Queues
Annotate Project using Queues
200 
Take fragment from video
Extract video fragment to selected project or dataset
200 
Predict App
This app applies neural networks to images. It supports various neural network tasks such as object detection, semantic segmentation, and instance segmentation.
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
190 
Labels spatial distribution
Build labels distribution heatmap for dataset.
186 
Images thumbnail preview
Preview images as a grid gallery
175 
Mark segments on multi-camera videos
Tag segments (begin and end) on single or multiple videos in dual-panel view
175 
PIPs object tracking
Track points and polygons on videos
172 
Train MMClassification V2 (MMPretrain)
Dashboard to configure, start and monitor training
171 
Import Volumes with 3D Masks
Import Volumes with .nrrd 3D Masks to Supervisely
166 
Import KITTI-360
Import Pointcloud Episodes from KITTI-360 format
161 
Objects Interpolation on video
Track polygons, rectangles and points using linear interpolation
159 
Cleaner
Remove temporary files from Team files
158 
Print Progress and Error
Print Progress and Error
Prints progress and then raises error
3D AI assistant
Deploy labeling assistant for 3D point clouds as REST API service
155 
Group nested objects
Binds nested objects into groups
152 
Labeling Consensus
Compare annotations of multiple labelers
150 
CoTracker object tracking
Track points, polygons and skeletons (keypoints) on videos
148 
Import volumes from cloud storage
Import volumes from cloud (Google Cloud Storage, Amazon S3, Microsoft Azure, ...)
147 
Create foreground mask
Create foreground mask from alpha channel of image
147 
Import PDF as Images
Drag and drop PDFs to import pages as images to Supervisely
141 
Import YouTube videos
Import videos by urls provided in text file
137 
Export volume project to cloud storage
Export volume project to Google Cloud Storage, Amazon S3, Microsoft Azure, ...
130 
Serve HRDA
Deploy HRDA model for inference
126 
Import Multispectral Images
Import multispectral images as channels or as separate images.
