AI that watches the sky and finds what others miss.

AstroLens is an open-source astronomical anomaly detection tool that uses deep learning to identify unusual objects in sky survey images -- automatically, at scale, and without human supervision.

	Anomaly Detection -- AI identifies unusual objects with OOD scoring and YOLO transient detection
	Gallery & Viewer -- Browse, inspect, and verify detected anomaly candidates
	Web Dashboard -- Statistics, streaming charts, and analysis insights

• Overview -- What AstroLens does and how it works
• Galaxy Mode -- Vision Transformer + OOD anomaly detection
• Transient Mode -- YOLO object detection for supernovae and transients
• Streaming Discovery -- Autonomous multi-day operation (v1.1.0)
• API Reference -- REST API endpoints
• Troubleshooting -- Common issues and solutions

Version 1.1.0 introduces Streaming Discovery -- a fully autonomous pipeline that downloads images from major astronomical archives, classifies them using a Vision Transformer and YOLO transient detector, self-corrects its detection thresholds in real time, and cross-references every finding against the SIMBAD international astronomical database.

3-day autonomous validation run results:

• 20,997 images analyzed from 7 survey sources
• 3,458 anomaly candidates across 354 unique sky regions
• YOLO transient detection: 99.5% mAP50
• Known objects independently recovered: SN 2014J, NGC 3690, SDSS J0252+0039

• GitHub Repository
• Release Notes
• Issues