Image_Height, Image_Width = float(xml_file['annotation']['size']['height']), float(xml_file['annotation']['size']['width'])
    label = np.zeros((7, 7, 25), dtype=float)  # ⑤

    objects = xml_file['annotation']['object']
    if not isinstance(objects, list): objects = [objects]

    for obj in objects:
        class_index = Classes_inDataSet.index(obj['name'].lower())  # ⑥
        coordinates = float(obj['bndbox']['xmin']), float(obj['bndbox']['ymin']), float(obj['bndbox']['xmax']), float(obj['bndbox']['ymax'])
        x, y, w, h = transform_coordinates(coordinates, Image_Width, Image_Height) # ⑦
        x_cell, y_cell = int(x / 32), int(y / 32)
        x_val_inCell, y_val_inCell = (x - x_cell * 32.0) / 32.0, (y - y_cell * 32.0) / 32.0
        class_index_inCell = class_index + 5
        label[y_cell, x_cell, :5] = [x_val_inCell, y_val_inCell, w, h, 1.0]
        label[y_cell, x_cell, class_index_inCell] = 1.0

    return label