Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection.

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Description:

Underlying datasets of the paper "Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection." It contains two training and validation sets of images of red deer and their COCO style annotations json files.

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Source Repository:

Dataverse de l'Université de Sherbrooke

Series:

Université de Sherbrooke - Dataverse étudiant

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Access:

Restricted

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License:

{'name': 'CC BY-NC 4.0', 'uri': 'http://creativecommons.org/licenses/by-nc/4.0'}

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URL:

https://doi.org/10.5683/SP3/TELIYD

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Publication date:

2023-02-03

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Subjects:

Medicine, Health and Life Sciences

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Keywords:

Animal survey, Object detection, Remote sensing, Unmanned Aerial Vehicles (UAV), and Deep learning

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APA Citation:

Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection. (2023). [Data set]. Dataverse de l'Université de Sherbrooke. https://doi.org/10.5683/SP3/TELIYD

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