A Comprehensive Overview of Object Detection Datasets in Computer Vision
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Object detection datasets in computer vision refer to collections of labeled images or videos that are specifically curated and annotated for the task of object detection. These datasets are used to train and evaluate object detection models, which are algorithms designed to identify and locate objects of interest within an image or video.<br><br>Object detection datasets typically include images or video frames along with annotations that specify the presence and location of objects within the data. The annotations commonly include bounding boxes that outline the objects in the images or videos.
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A Comprehensive Overview of Object Detection Datasets in Computer Vision
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