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Dataset Card: CAD + Retrieval Tables + SAM Embedding Databases
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This dataset release provides supporting data and precomputed features for composition-aware image cropping research. It contains three main components:
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CAD Dataset:
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Precomputed Retrieval Tables: .pt files mapping each query image to its top-32 retrieved references from AVA and CGL.
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Pre-extracted SAM Embedding Databases:
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The dataset is designed to support retrieval-augmented aesthetic image cropping, reference-based crop recommendation, and efficient benchmark evaluation without requiring users to recompute retrieval or SAM features from scratch.
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# Dataset Card: CAD + Retrieval Tables + SAM Embedding Databases
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## Dataset Summary
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This dataset release provides supporting data and precomputed features for composition-aware image cropping research. It contains three main components:
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- **CAD Dataset:** Weakly annotated images generated via ControlNet-based outpainting.
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- **Precomputed Retrieval Tables:** `.pt` files mapping each query image to its top-32 retrieved references from AVA and CGL.
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- **Pre-extracted SAM Embedding Databases:** Parquet files containing SAM image embeddings for efficient evaluation on GAIC, FLMS, and SACD.
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The dataset is designed to support retrieval-augmented aesthetic image cropping, reference-based crop recommendation, and efficient benchmark evaluation without requiring users to recompute retrieval or SAM features from scratch.
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