Here’s how to normalize bounding box coordinates for TFLite object detection input:

Normalization:

Normalization scales coordinates to values between 0 and 1, making them independent of image dimensions. Bounding boxes are typically represented as [xmin, ymin, xmax, ymax], where:

xmin: Top-left corner’s x-coordinate

ymin: Top-left corner’s y-coordinate

xmax: Bottom-right corner’s x-coordinate

ymax: Bottom-right corner’s y-coordinate

Formula:

Divide each absolute coordinate by the corresponding image dimension: normalized_x = x_coordinate / image_width normalized_y = y_coordinate / image_height