vapaau/LTDv2

LTDv2: A Large-Scale Long-term Thermal Drift Dataset for Robust Multi-Object Detection in Surveillance The LTDv2 dataset is designed as a single-scene thermal multi-object detection dataset of over 1 million frames extracted from video clips spanning a period of 8 months. The dataset contains more than 6.8 million annoted bounding boxes of 4 object classes (Person, Bicycle, Motorcycle, Vehicle). Encompasing several seasons, weather conditions and day-night cycles, objects and… See the full description on the dataset page: https://huggingface.co/datasets/vapaau/LTDv2.

<iframe src="https://silytics.si/embed/item/6d7be249-d29b-4f97-98bf-ab4c4b29f256" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.