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deepghs/csip_eval

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Tasks

zero-shot-image-classification

Citation text from the card

@misc{csip_eval_dataset,
  title        = {CSIP Evaluation Dataset: Human-Curated Anime Style Images for Zero-Shot Classification},
  author       = {deepghs},
  howpublished = {\url{https://huggingface.co/datasets/deepghs/csip_eval}},
  year         = {2023},
  note         = {Human-picked evaluation dataset for anime style classification containing high-quality images from various artists},
  abstract     = {The CSIP Evaluation Dataset is a human-curated collection of anime-style images specifically designed for evaluating zero-shot image classification models trained on artistic styles. This dataset represents the highest quality subset from the Contrastive anime Style Image Pre-Training (CSIP) project, containing carefully selected images that showcase distinct artistic characteristics from various anime artists. The dataset serves as a benchmark evaluation tool for assessing model performance on style recognition tasks in the anime art domain.},
  keywords     = {human-curated, zero-shot classification, anime styles, evaluation benchmark, contrastive learning}
}

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dataset_licence({ "id": "deepghs/csip_eval" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0