This repository contains the Machine Learning Project on Object Detection, developed during my internship at ASP-InfoTech Pvt. Ltd, Durgapur, West Bengal.
The project was a group project, carried out under the guidance of Mr. Harishankar Chatterjee.
Object Detection is a critical application of Computer Vision and Machine Learning, widely used in:
🛡️ Security & Surveillance
🚗 Autonomous Vehicles
🏭 Industrial Automation
📱 Smart Applications
Key project highlights:
📸 Preprocessed image datasets for training and testing
🧠 Implemented ML & DL-based object detection models
📦 Used Python libraries for feature extraction and prediction
📊 Evaluated model accuracy and detection performance
🔎 Visualized bounding boxes and labels on detected objects
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Data Collection & Preprocessing
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Curated and cleaned datasets
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Resized and augmented images for training
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Model Development
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Implemented CNN-based detection models
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Integrated OpenCV for real-time detection
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Evaluation & Results
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Calculated precision, recall, and accuracy
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Visualized object detection using bounding boxes
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(Add example detection images here with bounding boxes & labels)
- Clone the repository:
git clone https://github.com/your-username/object-detection-ml.git
- Install dependencies:
pip install -r requirements.txt
- Run the script:
python detect.py
📌 Role: Leader
👥 Team Size: 3 Members
Lead:
| Abhinab Mondal |
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Team:
| Sneha | Mehuli |
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✅ Contributed to model development and testing
✅ Assisted in dataset preparation and visualization
✅ Collaborated on debugging and optimizing detection accuracy
This project was carried out during my Machine Learning Internship at ASP-InfoTech Pvt. Ltd., Durgapur, West Bengal, under the guidance of Mr. Harishankar Chatterjee.
Grateful to ASP-InfoTech Pvt. Ltd. and mentor Mr. Harishankar Chatterjee for their guidance and support throughout the project.