[references]

[1] Ai for birds: https://www.aiforbirds.com/
[2] Deep Learning method for individual recognition in small bird:
https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.13436 [3] : AI Distillery (Part 1): A bird’s eye view of AI
[3] research on bird eye view: https://blog.mlreview.com/ai-distillery-part-1-a-birds-eye-view-of-ai- research-cf934f20ef6b?gi=7b4067f2611f
[4] Ornithology: https://en.wikipedia.org/wiki/Ornithology
[5] Classify-bird-species: https://docs.microsoft.com/en-us/learn/modules/cv- classify-bird-species/
[6] how fast can bird see: https://goldengateaudubon.org/blog-posts/how-fast-can- birds-see/
[7] Deep learning image recognition: https://github.com/cfchen- duke/ProtoPNet
[8] https://www.demilked.com/bird-vs-human-vision/
[9] https://medium.com/geekculture/birds-eye-view-of-artificial-intelligence-machine- learning-neural-networks-language-part-1-802b35cf1873
[10] https://towardsdatascience.com/this-model-is-for-the-birds-6d55060d9074 [3] https://today.duke.edu/2019/10/ai-birdwatcher-lets-you-see-through-eyes- machine
[11] https://elitedatascience.com/birds-eye-view

































Mark