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Does YOLO give preference to color over shape or vice-versa while detecting an object?

Data Science Asked by Abhishek Singla on December 21, 2020

If you train your YOLO model only on grayscale images to detect car, then would it able to recognise a car in a colored image also. If so, then can I assume that YOLO consider only object shape not color? Kindly clarify.

One Answer

YOLO has 3 input channels (RGB typically) and is a CNN, a neural net that uses stacked (trainable) convolution filters. Single convolution filters act as feature detectors and can be (trained to be) sensitive for straight edges from dark to light or a gradual passage from green to red. By stacking those you can build filters for more complicated features (such as faces).

TL;DR The network can learn to differentiate green and red circles if you want to.

Answered by S van Balen on December 21, 2020

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