An Elephant Image Classification Model

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prerequisites
Dataset preparation and preprocessing • Implementing CNNs from scratch • Evaluating model accuracy
skills learned
Build a deep learning powered image classifier using convolutional neural networks.
Satyajit Pattnaik
1 week · 6-8 hours per week · INTERMEDIATE
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Look inside

In this liveProject, you’ll join up with WildVision AI, a startup specializing in wildlife monitoring and conservation solutions. WildVision AI needs your help developing a camera system that can spot the difference between Asian and African elephants in order to track conservation efforts and migratory patterns. You’ve decided to build a deep learning powered image classifier, using convolutional neural networks. You’ll start by curating a well-labeled dataset of elephant images, making sure classes like Asian and African elephants are clearly distinguished and balanced for training. Next, you’ll preprocess the data. With clean inputs ready, you’ll design and build a CNN-based model tailored for binary classification. Finally, you’ll evaluate the model and iterate for improvement by tuning hyperparameters, fine-tuning layers, and adjusting augmentations.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Satyajit Pattnaik
Dr. Satyajit Pattnaik is a Lead Data/AI Architect with over 14 years of experience in software development, focusing on AI, data migration, and cloud computing. He has held key roles at PALO IT and Xccelerate, leading digital transformations and developing innovative Data and AI solutions. Dr.Pattnaik has served as a keynote speaker at international conferences and contributed to several publications and online courses in data analytics, data science and AI. He holds a Doctorate in Business Analytics and an MSc in Data Science, demonstrating his commitment to advancing the field.

prerequisites

The liveProject is for aspiring machine learning engineers, AI-curious developers, and students looking to dive deep into deep learning through a fun, real-world project.


TOOLS
  • Beginner Python
  • Beginner TensorFlow and Keras
  • Beginner Jupyter Notebook
TECHNIQUES
  • Basics of deep learning and neural networks
  • Basics of image processing
  • Basics of deep learning model evaluation

features

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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
Resources
Elephant Image Segmentation Using YOLO (1815) Building an Image Classification Model for Asian and African Elephants show all
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