Objective: Train a neural network to identify and classify images containing numerous blue antifreeze packaging mockups arranged neatly in rows against a blue background, captured from a top-down perspective at an angle. The neural network should ignore any labels or text on the packaging.

Dataset Creation:

Image Collection: Gather a diverse set of images featuring blue antifreeze packaging mockups against a blue backdrop. Ensure variations in lighting conditions, angles, and packaging arrangement.

Annotation: Manually annotate the dataset, highlighting the regions of interest containing the blue antifreeze packaging. Exclude any text or labels present on the packaging from the annotations.

Task Setup:

Input: Images containing blue antifreeze packaging arrangements.
Output: Classification of whether the image contains blue antifreeze packaging or not, disregarding any text or labels present.
Training Guidelines:

Preprocessing: Resize images to a standardized resolution, normalize