AI / 03 · AI & Computer Vision
Animal Classification System
A Django web application that uses convolutional neural networks to identify animal species from uploaded images.
- Status
- Completed
- Project
- Image classification
- Role
- Software engineering
- Focus
- AI & Computer Vision
Animal Classification
AI / 03Input image
Prediction
Top match
CNN model
Overview
The project, in short.
The Animal Classification System applies computer vision to species identification, wrapping an image-classification model in a Django web application.
The need
Image-classification models are more useful when they can be used without a technical setup. The project needed a straightforward way to submit an image and receive a classification.
The response
A Django web application with an integrated convolutional neural network model for image-based animal classification.
What it does
The working parts.
A focused computer vision application: one clear task, a trained model and a simple web interface around it.
- 01
Image upload and classification flow
- 02
Convolutional neural network model
- 03
Django web interface
- 04
A deployed application used through the browser
The system
A closer look at the interface.
Interface study · Animal Classification System
Animal Classification System
Image classification
Animal Classification System
Image upload and classification flow
Convolutional neural network model
Django web interface
A deployed application used through the browser
An interface study created for this portfolio to show the shape of the product, not a reproduction of client data.
Working approach
A focused computer vision application: one clear task, a trained model and a simple web interface around it.
Model integration, the Django application and the web interface that makes the classification workflow accessible.
Contribution
What I built.
Model integration, the Django application and the web interface that makes the classification workflow accessible.
Technologies
Related work