suggestion - possible procedure for growing the label list

[dobkeratops]

ok so at the moment you have the trending labels , but I still think this isn't quite ideal; I think we need to reason about it, eg decide through discussion threads. It's like a palettization algorithm: you can't just pick "popular colours", you need representative examples to cover the whole contrast.

eg find troublesome example images - and make sure we have the labels to cover it in a sensible way. Examples could be given in a paint program to illustrate

The game would be:-

• look through the images until you find a gap that you can't label, then add the label for it. Continue until fatigued.

a second game would be: when you see two areas or images with the same label, can you add a label to distinguish them (split the graph nodes). Examples of this would be various car body types, types of ship, etc.

Using the unifiedview is much closer to the workflow I was after all along: Completeness to me is about filling the entire area,, but then you can always divide it up further (components) .. so nothing is ever really complete

this also relates to why I like the idea of a scene label as a starting point - the best single word for the whole image, then you go in and divide it up.. refining the description

adding labels to images will be easier once you ccan do it in the unified view.. it's so much easier when you can see how the image fits together and divides up.. (then you can see where the holes are)

Sometimes there's going to be combined words that would suit an area better, even if the components are labelled.. it all depends on the specific distance and prominence. An example would be "market stall" .. it's got person, strut, table,roof/canopy,fruit,crates,vegetables, but in a row of market stalls you'd just want to label that word in the distances, and only do the components closeup