Flower Detection Dataset

Flower Detection Dataset by iPhone XR with flower annotations. A total of 103 images were acquired from various distances. Also, the subsets used to train, validate and test some deep learning models are available in three. The augmented images and their annotations are stored in an archive with the following structure: <em>FlowerDetection/</em> label_map.pbtx <em>test/</em> <em>images/</em> <em>labels/</em> <em>train/</em> <em>images/</em> <em>labels/</em> <em>val/</em> <em>images/</em> <em>labels/</em> <br> Each annotation file links to its image by the file name, so if an image is named <strong>"IMG_1533.jpg</strong><em><strong>"</strong></em>, its annotation files are named <strong>"IMG_1533.txt"</strong> in YOLO format. The file label_map.pbtx defines the class id and the name of each class.