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README.md
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---
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license: cc-by-4.0
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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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# SNAP Benchmark
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**Code and annotations**: [https://github.com/ykotseruba/SNAP]
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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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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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- 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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<!-- ## Citation
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**BibTeX:** -->
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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
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