[Project] Synthetic Image Dataset Development-Update 01

Results from an Image Classification test run.

[Results from Image Classification test run on intact and damaged 1D barcode photos](https://preview.redd.it/ttme0ogs0sec1.jpg?width=1920&format=pjpg&auto=webp&s=f62c7e2eb9d8c25622e08f64acb954f8dc02b864)

What's the project about?

Identifying intact and damaged 1D barcodes on product boxes in manufacturing and packaging plants.

Currently, I am testing the performance of an image classification model trained solely on Google Search images. The accuracy for detecting "Damaged" 1D barcodes is notably low due to the scarcity of images on the internet containing damaged 1D barcodes on product …

accuracy classification classification model dataset development google google search image images low machinelearning manufacturing packaging performance plants product project search synthetic test testing update