Cattle-cloud

Note

This is the helper repo for the Indian Bovine Breeds Kaggle dataset.

Minimal Quick Start: Clone, Install, and Run the Keras-Based Identification Script.

1. Clone the repository

git clone https://github.com/pronoym99/Cattle-cloud.git
cd Cattle-cloud

2. (Optional) Create and activate a virtual environment

Windows (PowerShell):

python -m venv .venv
.\.venv\Scripts\Activate.ps1

macOS/Linux:

python3 -m venv .venv
source .venv/bin/activate

3. Install required packages

pip install --upgrade pip
pip install tensorflow pillow numpy

4. Run the identification script

# Run from the repository root:

python identification.py

This will:

• Load the Keras model from models/cattle_identification_keras_model.h5
• Use the sample image at assets/Indian_bovine_breeds/Hallikar/Hallikar_4.jpg
• Print the detected class (e.g., Class detected: <BreedName>)

5. Use your own image

Edit the image path in identification.py:

# In identification.py
from PIL import Image
image = Image.open("path/to/your/image.jpg")

Keep the preprocessing (224x224) unchanged.