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[D] Implications of retraining a model (with transfer learning) with the same object?

Hi,

I got some doubts about transfer learning.

I have this pre-trained model X, trained on the COCO dataset (its a dataset made of images; cars, persons, apples, etc…), and I want to retrain it using transfer learning with a new dataset made of one object that’s already part of the COCO dataset: apples. I’m doing so because I want to use my apple dataset, and not the COCO one.

Now comes my doubt. What will happen with the previous knowledge the model has about apples? Will it differentiate my apples from COCO’s? Also, what if I re-label my apples to “manzanas” (apple in Spanish), will there be some sort of conflict between the “manzana” and the already known “apple” label?

Hope the question makes sense. Thanks.

submitted by /u/pokedata
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.