Dataset · Hugging Face

ykotseruba/SNAP

Name: SNAP
Creator: ykotseruba
License: cc-by-4.0
Keywords: task_categories:image-classification, task_categories:question-answering, task_categories:object-detection, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:csv, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

SNAP Benchmark Code and annotations: [https://github.com/ykotseruba/SNAP] SNAP (stands for Shutter speed, ISO seNsitivity, and APerture) is a new benchmark consisting of images of objects taken under controlled lighting conditions and with densely sampled camera settings. This benchmark allows testing the effects of capture bias, which includes camera settings and illumination, on performance of vision algorithms. SNAP contains 37,558 images of 100 scenes (10 scenes per 10 object… See the full description on the dataset page: https://huggingface.co/datasets/ykotseruba/SNAP.

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Author / organization	ykotseruba
License (as declared)	cc-by-4.0
Downloads	594 (as reported by Hugging Face)
Likes	0
Created	15 May 2025
Last updated at source	16 May 2025

benchmarkcamera_parametersexposure

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