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@@ -45,7 +45,7 @@ You are responsible for creating appropriate validation and test splits using th
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  # <span style="font-size: 1.5em; font-weight: bold;">Key features</span>
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- - 72,317 high-resolution images (640×640 pixels, JPEG format) featuring close-up eyes, people's faces, and real-life scenes with varying complexity and number of faces.
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  - All bounding boxes have been **completely re-annotated manually** with **Roboflow** to ensure maximum accuracy.
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  - Annotations provided in **ready-to-use COCO format** for easy integration with most object detection frameworks.
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  - **Single Training Split:** The dataset is provided as a single training split to allow maximum flexibility in creating custom train/validation/test splits for different research needs.
 
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  # <span style="font-size: 1.5em; font-weight: bold;">Key features</span>
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+ - 72,317 high-resolution images (640×640 pixels, JPG format) featuring close-up eyes, people's faces, and real-life scenes with varying complexity and number of faces.
49
  - All bounding boxes have been **completely re-annotated manually** with **Roboflow** to ensure maximum accuracy.
50
  - Annotations provided in **ready-to-use COCO format** for easy integration with most object detection frameworks.
51
  - **Single Training Split:** The dataset is provided as a single training split to allow maximum flexibility in creating custom train/validation/test splits for different research needs.