trojblue/AVA-subset-with-metrics

AVA Subset with Metrics

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.

Derivation Process

1. Subset Selection: Images were extracted from trojblue/AVA-aesthetics-10pct-min50-10bins, ensuring a minimum of 50 samples per bin.
2. Efficient Local Export: Images were stored locally using a multi-threaded approach to speed up processing.
3. Metric Calculation: Various computer vision metrics were computed using cv2_metrics from procslib, including sharpness, contrast, and other image quality indicators.
4. Data Merging: The computed metrics were merged back into the dataset, providing additional insights beyond aesthetic scores.

Usage

This dataset is ideal for:

• Training models that incorporate both aesthetic scores and image quality metrics.
• Analyzing relationships between image structure and subjective ratings.
• Benchmarking computer vision models on real-world aesthetic quality assessment.

The dataset is publicly available for research and model development. 🚀