Some ideas from IAAD discussion

[ots22]

Just recording these somewhere (please edit/add to the list):

• Consider close crops/close ups of important features or partial moth images as another augmentation (c.f. whales)
• 'Open-world' classification - common for individual-level problems. Methods that produce an embedding of the image in a latent space can be convenient; visualisation of this
• https://github.com/facebookresearch/detr
• Megadetector: For detecting animals from camera traps. Used by WildLabs
• Networks used for facial recognition
• Grad-CAM: For explainable AI - to see which parts of the image the model focuses on