physicl-community/pack-54o-of-my-project-53d7si-a11b689a
Outdoor Urban Structure Detection Eval Evaluation dataset of 10 renders across 10 outdoor and urban environments (streets, alleyways, a street cafe, a pocket park, a street library) at 1024x1024, with albedo and metric depth passes and per-frame annotations, to measure a computer vision model's detection of urban structures such as buildings, roads and sidewalks. This dataset mirrors public data-pack render outputs from Physicl. Each row represents one render view. The image… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/pack-54o-of-my-project-53d7si-a11b689a.
Outdoor Urban Structure Detection Eval
Evaluation dataset of 10 renders across 10 outdoor and urban environments (streets, alleyways, a street cafe, a pocket park, a street library) at 1024x1024, with albedo and metric depth passes and per-frame annotations, to measure a computer vision model's detection of urban structures such as buildings, roads and sidewalks.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync operator.
Additional render passes are exposed as URL columns, including .exr passes such as depth_metric that the dataset viewer cannot preview but that are downloadable from /data. The metadata column is the Core renderOutput.metadata value serialized as JSON, without Hugging Face-specific enrichment.
Dataset repo: https://huggingface.co/datasets/physicl-community/pack-54o-of-my-project-53d7si-a11b689a