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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-classification
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+ - question-answering
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+ - object-detection
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+ tags:
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+ - benchmark
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+ - camera_parameters
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+ - exposure
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+ size_categories:
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+ - 10K<n<100K
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+ language:
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+ - en
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: test
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+ path: "data.csv"
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+ ---
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+
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+ # SNAP Benchmark
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+
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+ **Code and annotations**: [https://github.com/ykotseruba/SNAP]
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+
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+ **SNAP** (stands for **S**hutter speed, **I**SO se**N**sitivity, and **AP**erture) is a new benchmark consisting of images of objects taken under controlled lighting conditions and with densely sampled camera settings.
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+
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+ This benchmark allows testing the effects of capture bias, which includes camera settings and illumination, on performance of vision algorithms.
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+ SNAP contains **37,558** images of 100 scenes (10 scenes per 10 object categories) uniformly distributed across sensor settings and annotations for the following tasks:
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+
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+ - image classification;
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+ - object detection;
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+ - instance segmentation;
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+ - visual question answering (VQA).
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+
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+ <!-- ## Citation
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+
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+ **BibTeX:** -->
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+
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+ - **Curated by:** Iuliia Kotseruba
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+ - **Shared by:** Iuliia Kotseruba
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+ - **Language(s) (NLP):** English
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+ - **License:** CC-by-4.0