Supervisely
Repository overview
Type to start searching
Supervisely
Introduction
Getting started
Teams & workspaces
Import data
Import data
Overview
Upload via browser
Upload via links plugin
Upload via agent
Supported formats
Supported formats
Directory with images
Supervisely format
Cityscapes format
Mapillary format
Pascal VOC format
KITTI SemSeg format
Projects
Projects
Overview
Datasets
Info
Classes
Tags
Statistics
Settings
Annotation Tool
Annotation Tool
Overview
Navigation
Scene
Images
Figures
Instruments
History
Labeling Jobs
Labeling Exams
Labeling Issues
Plugins
Cluster
Cluster
Overview
Agent
Add / Restart / Delete agent
Node monitoring
AMI (Amazon)
Clean Up
Neural Networks
Neural Networks
Overview
Supported NNs
Model Zoo
Basics
Basics
My Models
Checkpoints
NN lifecycle
Training
Inference
Configurations
Configurations
Overview
Training config
Inference config
Examples
Examples
Train NN on your data
Train NN on your data
UNet (Vessels)
UNet (Lemon)
Deeplab
Mask R-CNN
YOLO V3
Use NN from Model Zoo
Use NN from Model Zoo
Mask R-CNN
Faster R-CNN
Smart Tool
DTL - data transformation language
DTL - data transformation language
Introduction
Data layers
Data layers
Data
Transformation layers
Transformation layers
Approx Vector
Background
BBox to Polygon
Bitmap to Lines
Bitwise Masks
Blur
Bounding Box
Color Class
Contrast / Brightness
Crop
Dataset
Drop by Class
Drop Lines by Length
Drop Noise
Dummy
Duplicate Objects
Find Contours
Flip
If
Instances Crop
Line to Bitmap
Merge Masks
Multiply
Noise
Objects Filter
Polygon to Bitmap
Random Color
Rasterize
Rename
Resize
Rotate
Skeletonize
Sliding Window
Split Masks
Tag
Save layers
Save layers
Save
Save Masks
Supervisely
Examples / Use cases
Examples / Use cases
Merge datasets
Split datasets
Resize images
Drop classes
Drop classes
Simple case
Complex case
Download filtered data
Vectorize bitmap
Python Scripts
Data Commander
Data Commander
Clone project meta
Enterprise Edition
Enterprise Edition
Installation
Post-installation
Upgrade
HTTPS
S3 Support
External authorization
Cookbook
Cookbook
How to deploy Supervisely
How to download dataset (from DTL)
How to deploy Smart tool
How to build custom model
Real world tasks
Real world tasks
Fast person detection
Automatic roads segmentation
NNs and irregular image size
How to use neutral class
Satellite imagery
Find instances by segmenting object boundaries
How drones analyse power lines
SDK
SDK
Annotation Format (JSON)
API
API
v1 (deprecated)
v1 (deprecated)
Introduction
General
Projects
Projects
General
Tags
Images
Images
General
Meta
Tasks
Tasks
General
Import
DTL
Train
Inference
v2
v3
Python
Python
Overview
Repository overview
Agent: task manager
Task data: structure
Low level API
Low level API
Overview
Tasks
Tasks
Overview
TaskPaths
TaskHelperTrain
TaskHelperInference
TrainCheckpoints
Progress
Reporting
Project
Project
Overview
Project Structure
Project Meta
Annotation
Examples
Examples
Draw annotations
Modify annotations
Custom NN (train)
Custom NN (inference)
Custom import
Custom DTL layer
Repository overview
Repository overview will be added later.