https://github.com/sanjay-ar/incois_aaides-project
INCOIS_AAIDeS (Automated Animal Identification and Detection of Species) is a finalist-level government-backed project developed in collaboration with INCOIS – Indian National Centre for Ocean Information Services, Hyderabad. It uses deep learning to detect and classify marine species from netted fish data, empowering sustainable fishing and aiding
https://github.com/sanjay-ar/incois_aaides-project
image-augmentation machine-learning noise-reduction opencv tensorflow
Last synced: about 1 month ago
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INCOIS_AAIDeS (Automated Animal Identification and Detection of Species) is a finalist-level government-backed project developed in collaboration with INCOIS – Indian National Centre for Ocean Information Services, Hyderabad. It uses deep learning to detect and classify marine species from netted fish data, empowering sustainable fishing and aiding
- Host: GitHub
- URL: https://github.com/sanjay-ar/incois_aaides-project
- Owner: sanjay-ar
- Created: 2024-10-24T04:38:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-19T09:37:01.000Z (12 months ago)
- Last Synced: 2025-09-06T14:42:11.342Z (9 months ago)
- Topics: image-augmentation, machine-learning, noise-reduction, opencv, tensorflow
- Language: Python
- Homepage: https://drive.google.com/file/d/101b5fXWozdKy4IIgFe6EDAOzvg1ZopHA/view?pli=1
- Size: 14.2 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Automated Marine Animal Identification and Detection of Species
**Mission:** Empower fishermen through cutting-edge technology by revolutionizing the fishing industry with a sustainable and efficient approach.
## Project Overview
The **INCOIS_AAIDeS Project** leverages advanced deep learning techniques to analyze fish behavior directly from the net. This innovative system aims to:
- Optimize fishing efficiency.
- Promote sustainability in marine ecosystems.
- Provide actionable insights to fishermen for better decision-making.
## Features
- **Deep Learning Model:** Analyzes fish species and behaviors using real-time data.
- **Automation:** Reduces manual labor and errors in fish identification.
- **Sustainability:** Ensures responsible fishing practices by monitoring fish populations.
## File Structure
### `fish.py`
This is the core script for the **AAIDeS** project. It includes:
- **Model Implementation:** Deep learning algorithms for detecting and identifying fish species.
- **Data Processing:** Functions for preprocessing inputs (images/videos).
- **Prediction Pipeline:** Generates insights based on netted fish behavior.
## Prerequisites
- **Programming Language:** Python 3.7+
- **Libraries:**
- TensorFlow
- OpenCV
- NumPy
- Matplotlib
- Pandas
## Installation
1. Clone the repository:
```bash
git clone https://github.com/your-repo/INCOIS_AAIDeS.git
```
2. Navigate to the project directory:
```bash
cd INCOIS_AAIDeS
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
## Usage
1. Run the script to process sample data:
```bash
python fish.py
```
2. Upload fish images or videos to analyze their behavior and species.
## Contributing
We welcome contributions to enhance the AAIDeS project. Please follow these steps:
1. Fork the repository.
2. Create a new branch (`feature/your-feature-name`).
3. Commit your changes.
4. Submit a pull request.
---
### 🚀 Maintained by [Sanjay A R](https://github.com/sanjay-ar)
[](https://portfolio-ar.vercel.app/)
[](https://www.linkedin.com/in/sanjay-ar/)
[](https://github.com/sanjay-ar)
> 💡 *Like this project? Leave a ⭐ and connect with me!*