Dataset for the detection and gender classification of crickets Acheta domesticus

The dataset can be used for training AI models for detection and sex classification of Acheta domesticus crickets.The dataset is already divided into training, validation and test dataset. The format is the classical COCO/YOLO format for object detection tasks.The file contain a *.yaml configuration file that allows to define the dataset root directory, the relative paths to training/validation/testing image directories or *.txt files containing image paths, and a dictionary of class names. In this case the class names are:

0: cricket_M (i.e., male crickets);

1: cricket_F (i.e., female crickets);

The images are labelled by an expert operator and acquired with the setup described by Giulietti et al. in "Vision Measurement System for Gender-based Counting of Acheta domesticus".Labels for this format should be exported to YOLO format with one *.txt file per image. If there are no objects in an image, no *.txt file is required. The *.txt file should be formatted with one row per object in class x_center y_center width height format. Box coordinates must be in normalized xywh format (from 0 to 1). If your boxes are in pixels, you should divide x_center and width by image width, and y_center and height by image height. Class numbers should be zero-indexed (start with 0).