Question 1

Read the following configuration file and code snippet related to training and annotations in a YOLO model, and answer the given subquestions.\ A dataset configuration file (YAML) is defined as:\ path: /data/helmet\_dataset train: images/train val: images/val nc: 5 names: \[’helmet’, ’no\_helmet’, ’person’,’car’, ’truck’\] A sample annotation in YOLO format is given below: 2 0.25 0.60 0.40 0.20 This represents: classid, xcenter, ycenter,width, height. Assume the corresponding image has dimensions: 640 (width) × 480 (height). Based on the YAML configuration file, what is the total number of object classes the model is trained to detect? Read the following configuration file and code snippet related to training and annotations in a YOLO model, and answer the given subquestions.\ A dataset configuration file (YAML) is defined as:\ path: /data/helmet\_dataset train: images/train val: images/val nc: 5 names: \[’helmet’, ’no\_helmet’, ’person’,’car’, ’truck’\] A sample annotation in YOLO format is given below: 2 0.25 0.60 0.40 0.20 This represents: classid, xcenter, ycenter,width, height. Assume the corresponding image has dimensions: 640 (width) × 480 (height). What is the x-coordinate (in pixels) of the center of the bounding box? Read the following configuration file and code snippet related to training and annotations in a YOLO model, and answer the given subquestions.\ A dataset configuration file (YAML) is defined as:\ path: /data/helmet\_dataset train: images/train val: images/val nc: 5 names: \[’helmet’, ’no\_helmet’, ’person’,’car’, ’truck’\] A sample annotation in YOLO format is given below: 2 0.25 0.60 0.40 0.20 This represents: classid, xcenter, ycenter,width, height. Assume the corresponding image has dimensions: 640 (width) × 480 (height). What is the x-coordinate (in pixels) of the top-left corner of the bounding box?