Supervisely
Python SDK Reference:
API Reference
Public REST API Reference:
Public REST API
Guides:
Intro
What is Supervisely Agent
Custom plugin basics
Custom NN plugin basics
How to debug custom NN plugin
Different ways how to deploy NN with Supervisely
Exam reports explained
UI documentation
Basics and Usage Examples:
Project Structure
Supervisely Python SDK Tutorial #1
Projects and datasets basics
Data Management
Augmentations
NN: deploy and inference on Supervisely via API
Automate NN training and inference via API
Inference modes: full image / sliding window / ROI / bboxes
Data manipulation via API: copy / move / delete
Users and labeling jobs API
Custom NN pilepile: (1) detect objects and (2) segment them with separate networks
Upload images via API
Custom Data Pipeline
Filter and combine images
How to work with NN pixelwise probabilities
Additional examples in our github
Supervisely
Docs
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Project Structure
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Project Structure
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Supervisely Python SDK Tutorial #1
Projects and datasets basics
Hello Project - explore the data
Image annotations and meta-information
Geometric labels
Image-level tags
Create and populate a new project
Create a new empty project
Set up new project metadata
Populate the new project with labeled images
Direct on-disk project copy
Modifying annotations and labels
Built-in transformations
Construct new labels externally
Label transform functions
Working with tags
No-value tags
Tags with values