Final project for the Ironhack Data analytics class of August-October 2020
Project: Image detection, segmentation and classification using neural networks Specifics: Plate number recogition and classification (Letters [A-Z] and numbers [0-9])
Input: any photo of a car where the license plate is visible Output: list of the components associated with their individual images, i.e.:
"N" "U" "C" "6" "1" "0" "9" <--- List of np.alpha characters
img_1 img_2 img_3 img_4 img_5 img_6 img_7 <--- Each character of the plate
General Code Components: WPOD model that detects and segments a license plate in any photo. TensorFlow model that classifies individual numbers and letters. Final output: classified images
Inspiring Sources: analitics_vidhya medium tensorflow sentdex