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@@ -82,8 +82,8 @@ coco_dataset = CocoDetection(
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  # <span style="font-size: 1.5em; font-weight: bold;">Key features</span>
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  - 72,317 images of close-up eyes, people's faces, and real-life scenes.
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- - All bounding boxes have been **completely re-annotated manually** on 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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  - <u>Various Image acquisition conditions</u>:
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  - Single person (1 or 2 eyes), whole people, groups, ...
 
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  # <span style="font-size: 1.5em; font-weight: bold;">Key features</span>
84
  - 72,317 images of close-up eyes, people's faces, and real-life scenes.
85
+ - All bounding boxes have been **completely re-annotated manually** with **Roboflow** to ensure maximum accuracy.
86
+ - Annotations provided in **ready-to-use COCO format** for easy integration with most object detection frameworks.
87
  - **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.
88
  - <u>Various Image acquisition conditions</u>:
89
  - Single person (1 or 2 eyes), whole people, groups, ...