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Overview
What is Lightly?
Getting Started
Install Lightly
Set Up Your First Dataset
Run Your First Selection
Analyze the Selection Results
Export Filenames
Advanced
Videos as Input
Customize a Selection
Selection Strategy Combination
Active Learning Scorers
Train a Self-Supervised Model
Relevant Filenames
Datapool
Corruptness Check
Sequence Selection
Custom Embeddings
Configuration Options
Outputs
Report
Dataset Metrics
Embeddings
Corruptness Check Information
Other Outputs
Automation
Automation with Python
Metaflow
Dagster
Tutorials
Active Learning Using YOLOv7 and Comma10k
Active Learning Using YOLOv7 for Waste Sorting
Active Learning for Driveable Area Segmentation Using Cityscapes
Active Learning for Transactions of Images
Improving YOLOv8 using Active Learning on Videos
Assertion-based Active Learning with YOLOv8
Active Learning for Sports Applications using Keypoint Detections
Providing Data to Lightly
Cloud Storage
AWS S3
Azure
Google Cloud Storage
Work with Metadata
Work with Predictions
Prediction Format
Lightly Pretagging
The Lightly Platform
Overview
Core Concepts
Datasets
Tags
Samples
Runs
Collaboration
Crop Datasets
Analyze and Filter
Metadata
Correlation
Embeddings
Export
Filenames and ReadURLs
Labelbox
Label Studio
Metadata Configuration
Other Bits
Security
Hardware Recommendations
Known Issues & FAQ
Debugging
Contact Us
Assign Scheduled Runs to Specific Workers
Migration guides
Migrating to Worker v2.4
Migrating to Worker v2.5
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Migrating to Worker v2.4
Migrating to Worker v2.5
Updated 26 days ago
