Downloads provided by UsageCounts
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: FlowerDetection/ label_map.pbtx test/ images/ labels/ train/ images/ labels/ val/ images/ labels/ Each annotation file links to its image by the file name, so if an image is named "IMG_1533.jpg", its annotation files are named "IMG_1533.txt" in YOLO format. The file label_map.pbtx defines the class id and the name of each class.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 7 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts