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@@ -45,6 +45,8 @@ Rapidata makes it easy to collect manual labels in several data modalities with
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  Users are shown an image and are asked to paint a class of objects with a brush tool - there is always a single such object on the image, so the task is not ambiguous.
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  The result of this user-interaction is a collection of lines drawn by the user on that particular image.
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  # Challenge:
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  The challenge of the dataset is to aggregate the lines on each image to get an idea of where the target object is. For each image, we provide hundreds of 2D lines drawn by different humans that can be used to create bounding boxes and segmentation maps on each image of the target object. Apart from the lines, the dataset contains the COCO 2D bounding box ground truths as well as baseline predictions to beat.
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  Users are shown an image and are asked to paint a class of objects with a brush tool - there is always a single such object on the image, so the task is not ambiguous.
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  The result of this user-interaction is a collection of lines drawn by the user on that particular image.
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+ If you get value from this dataset and would like to see more in the future, please consider liking it.
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  # Challenge:
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  The challenge of the dataset is to aggregate the lines on each image to get an idea of where the target object is. For each image, we provide hundreds of 2D lines drawn by different humans that can be used to create bounding boxes and segmentation maps on each image of the target object. Apart from the lines, the dataset contains the COCO 2D bounding box ground truths as well as baseline predictions to beat.
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