This repository is code for a lightweight data capture utility that provides a graphical user interface for drawing bounding boxes around objects in images for the creation of training datasets for deep learning applications. The basic program is based on the Yolo_mark repository. The program outputs data files in yolo format text files.
The program was developed at Harper Adams University by Matt Butler, George Wager, and Ed Harris.
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desktop_image_labeller.py for labeling images that are stored locally on a PC
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wireless_image_labeller.py for labelling images that are recorded live with a webcam
Citation
Harris, W. Edwin et al. (2021), Data From: Investigating human repeatability of a computer vision based task to identify meristems on a potato plant (Solanum tuberosum)., Dryad, Dataset, https://doi.org/10.5061/dryad.2rbnzs7pz