Performance enhancement of animal species classification using deep learning
MK Gourisaria, U Singh, V Singh, A Sharma - International Conference on …, 2022 - Springer
Automatic recognition of animal classes by their imageries is an imperative and perplexing
task, especially with different animal breeds. Many image classification systems have been …
task, especially with different animal breeds. Many image classification systems have been …
An Enhanced Animal Species Classification and Prediction Engine using CNN
Animal species classification is a fundamental task in wildlife conservation, animal behavior
studies, and biodiversity research. Convolutional Neural Networks (CNNs) have become a …
studies, and biodiversity research. Convolutional Neural Networks (CNNs) have become a …
AnimNet: An Animal Classification Network using Deep Learning
Image classification is a combination of technologies: Image Processing (IP), Machine
Learning (ML), and Computer Vision (CV). The classification of animals has been done in …
Learning (ML), and Computer Vision (CV). The classification of animals has been done in …
An efficient framework for animal breeds classification using semi-supervised learning and multi-part convolutional neural network (MP-CNN)
SD Meena, L Agilandeeswari - IEEE Access, 2019 - ieeexplore.ieee.org
The automatic classification of animal images is an onerous task due to the challenging
image conditions, especially when it comes to animal breeds. In this paper, we built a semi …
image conditions, especially when it comes to animal breeds. In this paper, we built a semi …
Animal species image classification
L Prudhivi, M Narayana… - 2023 3rd …, 2023 - ieeexplore.ieee.org
In forests, in order to protect wild animals, real-time animal species identification is done via
picture recognition. Many computer vision approaches were first presented in the past …
picture recognition. Many computer vision approaches were first presented in the past …
Automating bird species classification: A deep learning approach with CNNs
R Cai - Journal of Physics: Conference Series, 2023 - iopscience.iop.org
Bird species identification and classification are challenging yet crucial for research and
conservation. Traditional methods are labor-intensive, require specialized expertise, and …
conservation. Traditional methods are labor-intensive, require specialized expertise, and …
Hybrid Deep Learning Approach for Enhanced Animal Breed Classification and Prediction.
The precise classification of animal breeds from image data is instrumental in real-time
animal monitoring within forest ecosystems. Traditional computer vision methods have …
animal monitoring within forest ecosystems. Traditional computer vision methods have …
Modified deep neural networks for dog breeds identification
A Ayanzadeh, S Vahidnia - 2018 - preprints.org
In this paper, we leverage state of the art models on Imagenet data-sets. We use the pre-
trained model and learned weighs to extract the feature from the Dog breeds identification …
trained model and learned weighs to extract the feature from the Dog breeds identification …
[PDF][PDF] Bird image classification using convolutional neural network transfer learning architectures
With the technological progress of human beings, more and more animal and bird species
are being endangered and sometimes even going to the verge of extinction. However, the …
are being endangered and sometimes even going to the verge of extinction. However, the …
Image-based identification of animal breeds using deep learning
Accurate and reliable breed identification of domestic animals from images is one of the
most promising but challenging tasks in intelligent livestock management. Traditional …
most promising but challenging tasks in intelligent livestock management. Traditional …