In this section we'd like to implement multiclass object detection and evaluate trained YOLOv2 model.
Reference:
Datasets download
BCCD dataset contains three kind of labels: Red Blood Cell, White Blood Cell, and Platelets. In the directory there
are 410 images and corresponding annotation files, and we divided the dataset into training set and testing set with
200 images and 210 images respectively. However, in two or three annotation files(.xml), '.jpg' is missing between
the opening and closing tag of 'filename' that would cause errors, just adding '.jpg' manually can fix it.
There are total 25 epochs and it stopped because we applied 'EarlyStopping' callback function during my training process. 'EarlyStopping' stops training when the validation data set grows several times.
AP=80%