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README.md
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path: data/train-*
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- split: train
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path: data/train-*
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# AVA Subset with Metrics
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This dataset is a processed subset of the **AVA (Aesthetic Visual Analysis) dataset**, derived from **trojblue/AVA-aesthetics-10pct-min50-10bins**. It includes a selection of images alongside computed **visual quality metrics**.
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## **Derivation Process**
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1. **Subset Selection**: Images were extracted from `trojblue/AVA-aesthetics-10pct-min50-10bins`, ensuring a minimum of 50 samples per bin.
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2. **Efficient Local Export**: Images were stored locally using a multi-threaded approach to speed up processing.
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3. **Metric Calculation**: Various **computer vision metrics** were computed using `cv2_metrics` from `procslib`, including sharpness, contrast, and other image quality indicators.
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4. **Data Merging**: The computed metrics were merged back into the dataset, providing additional insights beyond aesthetic scores.
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## **Usage**
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This dataset is ideal for:
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- Training models that incorporate both **aesthetic scores and image quality metrics**.
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- Analyzing relationships between **image structure and subjective ratings**.
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- Benchmarking computer vision models on real-world **aesthetic quality assessment**.
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The dataset is publicly available for research and model development. 🚀
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