Lewis Fishgold

Overall, this sounds great, and I like the idea of keeping the notebook use case in mind. However, I'm not sure I agree with the part about "Ensure that classes...

It seems like the predictor and evaluation functionality should also be usable a la carte and within a notebook environment.

> I think a `Learner.predict_dataset(dataset)` method that return a generator of predictions gets us most of the way there. The user will then have to just instantiate a dataset (either...

Sounds good! In the future we might want to generalize this to handle more than one category, but this is a good simplifying assumption to get started. I would try...

> Do you have prior knowledge of how big your instances might be and set the chip size accordingly? Roughly yes. I think I've only ever used object detection for...

You said you were trying to mimic semantic segmentation functionality, but now that I think about it, the object detection code is probably more relevant to what you're doing, although...

Sidenote which may be of interest: since COCO images are large most people use an 8 GPU machine where each GPU has a batch size of 2. But an alternative...

> training/validation split %. I think when working with satellite imagery, it's important to have separate training and validation regions. If you just make a bunch of chips from some...

> Hi. Any works update on implementing instance segmentation in rv? It's a on a list of potential new features, but I don't think it's likely that it will be...

Here is a rough list of the tasks that would need to be completed to add instance segmentation to RV. I've made some very rough estimates about how many days...