Datasets:
Languages:
English
Size:
1K - 10K
Tags:
VLM-evaluation
fine-grained-visual-perception
fine-grained-visual-reasoning
text-in-the-wild
scene-text-recognition
License:
File size: 8,808 Bytes
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"name": "FineSightBench",
"description": "\n\t\n\t\t\n\t\tFineSightBench\n\t\n\nFineSightBench is a fine-grained visual benchmark for evaluating Vision-Language Models (VLMs) on pixel-level perception and reasoning tasks. It combines two complementary image regimes:\n\nSynthetic canvas — controlled white-background images with precisely-sized geometric/semantic targets (letters, animals, shapes, blocks, dots).\nText in the wild (SynthText-style) — English words rendered onto real natural-scene photographs from the SynthText bg_img set, with… See the full description on the dataset page: https://huggingface.co/datasets/Volavion/FineSightBench.",
"alternateName": [
"Volavion/FineSightBench",
"FineSightBench"
],
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"name": "Lujun Li",
"url": "https://huggingface.co/Volavion"
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"visual-question-answering",
"image-classification",
"image-to-text",
"English",
"apache-2.0",
"1K - 10K",
"parquet",
"optimized-parquet",
"Image",
"Text",
"Datasets",
"Dask",
"Polars",
"Croissant",
"🇺🇸 Region: US",
"VLM-evaluation",
"fine-grained-visual-perception",
"fine-grained-visual-reasoning",
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"license": "https://choosealicense.com/licenses/apache-2.0/",
"url": "https://huggingface.co/datasets/Volavion/FineSightBench",
"rai:dataLimitations": "This dataset contains only synthetic data and is intended for model testing and small-scale training only. It is not recommended to use this dataset for real-world decision-making scenarios.",
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"rai:dataSocialImpact": "This dataset will not cause any potential social impact, but it will raise public awareness and understanding of VLMs.",
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