@jeremy This might be a dumb question but i am a bit confused so here goes.
Say I have a set of apparel images. Each of these can be categorized on multiple dimensions.
- Color (10s of color hues could be present)
- Top/Bottom (shorts, shirts, blouses, jeans, pants)
- Textile: silk, cotton
and so on…
Each image would have one or more of each type.
So how can the training data set be structured to be able to identify the values of all these dimensions for each image or the other way to look at it might be that each image might need to be present in multiple of these folders?