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WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: MegaDescriptor – Methodology
Manage episode 427170727 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/wildlifedatasets-an-open-source-toolkit-for-animal-re-identification-megadescriptor-methodology.
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #computer-vision, #open-source-toolkit, #wildlifedatasets, #model-fine-tuning, #individual-re-identification, #megadescriptor, #animal-re-identification, and more.
This story was written by: @reckoning. Learn more about this writer by checking @reckoning's about page, and for more stories, please visit hackernoon.com.
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
316 епізодів
Manage episode 427170727 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/wildlifedatasets-an-open-source-toolkit-for-animal-re-identification-megadescriptor-methodology.
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #computer-vision, #open-source-toolkit, #wildlifedatasets, #model-fine-tuning, #individual-re-identification, #megadescriptor, #animal-re-identification, and more.
This story was written by: @reckoning. Learn more about this writer by checking @reckoning's about page, and for more stories, please visit hackernoon.com.
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
316 епізодів
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