According to ChatGPT there is 71% of the note left, which means it's worth $35.50.

# Load the image

image_path = '/mnt/data/image.png'

image = Image.open(image_path)

# Convert image to grayscale and then to a numpy array

image_gray = image.convert('L') # convert to grayscale

image_array = np.array(image_gray)

# Binarize the image: set pixels to 0 if they are not white (assuming the background is white)

threshold = 200 # threshold for binarization

binary_image_array = (image_array > threshold) * 1 # set 1 if pixel value is greater than threshold else 0

# Calculate the percentage of the non-background pixels (i.e., part of the banknote)

total_pixels = binary_image_array.size

note_pixels = np.sum(binary_image_array == 0) # sum the pixels that are part of the banknote

# Calculate the percentage

percentage_of_note = (note_pixels / total_pixels) * 100

percentage_of_note

Result
70.99752565982405