[HTML][HTML] An IoT system using deep learning to classify camera trap images on the edge
Camera traps deployed in remote locations provide an effective method for ecologists to
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
Identification and classification of wild animals from video sequences using hybrid deep residual convolutional neural network
VK Vatsavayi, N Andavarapu - Multimedia Tools and Applications, 2022 - Springer
In recent decades, wild animal classification from the video sequence is considered the
trending research domain. Existing techniques utilize image processing for wild animal …
trending research domain. Existing techniques utilize image processing for wild animal …
Accurate multilevel classification for wildlife images
F Gomez-Donoso, F Escalona… - Computational …, 2021 - Wiley Online Library
The most common approaches for classification rely on the inference of a specific class.
However, every category could be naturally organized within a taxonomic tree, from the most …
However, every category could be naturally organized within a taxonomic tree, from the most …
Wild life animals image classification for photographers using VGG19
D Ranjith, V Sravan Kumar, N Chandramouli… - AIP Conference …, 2024 - pubs.aip.org
Wildlife photography is one of the best ways to connect with nature without disturbing its
habitat and is a good way to convey the importance of nature. Wildlife photography is the …
habitat and is a good way to convey the importance of nature. Wildlife photography is the …
[引用][C] An Instance Segmentation Method for Nesting Green Sea Turtle's Carapace using Mask R-CNN
M Syahiran Soria, K Amir Zakry, I Hipiny… - … of Computing and …, 2024 - University of Bahrain