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@@ -23,8 +23,11 @@ Content: The dataset features:
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  * Complex annotations with up to 500+ labels per frame in some cases
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  Sources: Frames were extracted from in-store video footage recorded in cosmetic retail environments (e.g., stores like Nocibé or Sephora, though not explicitly named).
 
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  Format: Raw images and their respective annotations, in XML format are available. Dataset was developed using CVAT and organized into subsets to optimize performance during extraction and analysis.
 
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  Annotation tool used: CVAT
 
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  Annotations: Annotations include bounding boxes / polygons for individual products and shelf layouts. For projects requiring additional metadata, feel free to contact us.
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  * Complex annotations with up to 500+ labels per frame in some cases
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  Sources: Frames were extracted from in-store video footage recorded in cosmetic retail environments (e.g., stores like Nocibé or Sephora, though not explicitly named).
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  Format: Raw images and their respective annotations, in XML format are available. Dataset was developed using CVAT and organized into subsets to optimize performance during extraction and analysis.
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  Annotation tool used: CVAT
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  Annotations: Annotations include bounding boxes / polygons for individual products and shelf layouts. For projects requiring additional metadata, feel free to contact us.
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