Yes, I agree on easily integrated model explainability will be interesting.
@Oli training viz is something can be more or less simply inserted into ignite, there are already provided tensorboard, visdom etc loggers and we can plot out-of-box losses, scalar/vector metrics, model weights norms, grads etc: https://pytorch.org/ignite/contrib/handlers.html#ignite.contrib.handlers.tensorboard_logger.TensorboardLogger 4
Metric library for all cases (as you site detection tasks) will be awesome. Today in ignite, we have a lot of basic metrics for classification, segmentation tasks and a bunch of regression metrics. Detection mAP, AP will be a of next steps…

Edit: I’m not entirely sure about what content exists other frameworks such as ignite & fastai. Do they already cover this?

Hope to answer the question from ignite side.