CLARU
robotflowlabs2026cc-by-4.0

ANIMA Thermal Synthetic — RGB-to-Thermal Dataset for Adverse-Condition Robotics

A large-scale synthetic thermal dataset containing 30,781 paired RGB-to-thermal images generated using a VLM-guided thermal synthesis model trained on real FLIR Boson+ thermal-depth pairs. Enables training of robotics perception models for operation in fog, rain, smoke, and complete darkness without expensive thermal hardware.

Downloads14K
Episodes30,781
Likes2

Why This Matters for Physical AI

This dataset addresses a critical gap in thermal perception training data for robotics, enabling the development of autonomous systems that can operate reliably in adverse weather and low-light conditions without expensive thermal sensors.

Technical Profile

Modalities
rgbthermal
Environment
lab
Task Types
depth_estimationobject_detectionimage_segmentationslamnavigation
Episodes
30,781
Data Format
PNG
Annotation Types
image_pairs
License
cc-by-4.0
Part of the ANIMA Thermal Synthetic — RGB-to-Thermal Dataset for Adverse-Condition Robotics family

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