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New dataset offers high-res RAW photos for vision research

Researchers have introduced "Places in the Wild," a new dataset featuring 67,574 high-resolution RAW photographs. This dataset was meticulously collected across 810 distinct physical locations, encompassing 260 scene categories. The images were captured using a 45-megapixel Canon EOS R5, providing 14-bit RAW files and detailed EXIF metadata to support advanced vision research. AI

IMPACT Provides a large-scale, high-resolution dataset for training and evaluating AI models in realistic visual conditions.

RANK_REASON The cluster contains an academic paper describing a new dataset.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Michelle R. Greene ·

    Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research

    arXiv:2606.02481v1 Announce Type: new Abstract: Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limited spatial context. Places in t…

  2. arXiv cs.CV TIER_1 English(EN) · Michelle R. Greene ·

    Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research

    Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limited spatial context. Places in the Wild is a dataset of 67,574 high-resolution p…