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LundAISociety/hot-building-predictions

HOT building predictions What each of our models predicts for every tile of the HOT building dataset, and how well, for browsing in the HOT Map Inspector. Prediction sets The first five sets are run on the 72,363 tiles of dataset v0.0, the three v0.2 sets and v0.3-vector on the 72,363 tiles of dataset v0.2. Scores are means over the tiles that dataset v0.1 has (71,539), against the v0.1 labels, see Metrics. set model trained on channels f1 pq polis (m)… See the full description on the dataset page: https://huggingface.co/datasets/LundAISociety/hot-building-predictions.

Author / organizationLundAISociety
License (as declared)odbl
Downloads569 (as reported by Hugging Face)
Likes0
Created8 October 2026
Last updated at source18 October 2026
remote-sensingbuilding-segmentationinstance-segmentationpredictionsopenstreetmaphot
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