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About Dsaa2017 Camera 6 Final
This document discusses using deep convolutional neural networks to automatically identify animals in images captured by wildlife cameras. The authors trained a model using a dataset labeled by citizen scientists to detect images containing animals and identify the three most common species in their region of Australia. Their system achieved 96.6% accuracy for detecting animal images and 90.4% accuracy for species identification, demonstrating the feasibility of fully automated wildlife monitoring using deep learning techniques.
Detailed Information
| Author: | ['Quang Le'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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