TensorFlow Flower Detection Dataset

TensorFlow Flower Dataset (https://www.tensorflow.org/datasets/catalog/tf_flowers) is a public open-access flower dataset for classification with images characterized by distinct flower types, backgrounds, and resolutions. TensorFlow Flower Detection Dataset consist of the same images with the associated annotations in the YOLO format which can be utilized for flower detection. We use the CVAT software to annotate more than 3 500 images, which resulted in more than 14 000 bounding boxes. The images and annotations are stored in an archive with the following structure: <em>TensorFlowFlowerDetectionDataset/</em> <em>labels/</em> <em>images/</em> Each annotation file links to its image by the file name, so if an image is named <strong>"2431737309_1468526f8b.jpg</strong><em><strong>"</strong></em>, its annotation files are named <strong>"2431737309_1468526f8b.txt"</strong> in YOLO format.