Datasets › The Benchmark

The Benchmark

Introduced by Zhitong Xiong et al. in THE Benchmark: Transferable Representation Learning for Monocular Height Estimation30 Dec 2021 archive 2025-07-28

The Benchmark is a collection of datasets for Monocular Height Estimation. It consists of two datasets: GTAH and AHN.

GTAH (Grand Theft Auto for Height estimation) is a large-scale synthetic dataset which is obtained from the game Grand Theft Auto, under different imaging conditions. GTAH contains 28,627 height maps in total and each with a resolution of 1920×1080. For each height map, there are three corresponding RGB images that are captured under different weather conditions.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • The Benchmark

1 variant name, as the archive lists them.

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