Datasets:
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README.md
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This dataset is designed for real-time "precise eye detection" under various conditions. It contains highly accurate bounding box annotations, manually retraced to ensure maximum precision.
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## **Dataset Annotations Format**
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## **Key features**
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- 72,317 images of close-up eyes, people's faces, and real-life scenes.
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- <u>Various Image acquisition conditions</u>:
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- Single person (1 or 2 eyes), whole people, groups, ...
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- Open and closed eyes.
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- Diversity of lighting and poses.
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## **Preprocessing e Augmentation applied**
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- Salt and pepper noise: 0.3% of pixels
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- Cutout: 7 boxes, each with a size of 2%
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**Nota importante**:
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## **Dataset Structures**
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dataset/
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This dataset is designed for real-time "precise eye detection" under various conditions. It contains highly accurate bounding box annotations, manually retraced to ensure maximum precision.
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## **Dataset Annotations Format**
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High-quality "COCO format annotations"
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## **Key features**
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- 72,317 images of close-up eyes, people's faces, and real-life scenes.
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- <u>Various Image acquisition conditions</u>:
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- Single person (1 or 2 eyes), whole people, groups, ...
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- Open and closed eyes.
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- Diversity of lighting and poses.
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## **Preprocessing e Augmentation applied**
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- Salt and pepper noise: 0.3% of pixels
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- Cutout: 7 boxes, each with a size of 2%
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## **Nota importante**:
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Tutti i bounding box sono stati **completamente riannotati manualmente** su Roboflow per garantire la massima accuratezza.
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## **Dataset Structures**
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dataset/
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