Highlights
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Equipment-Utilization-and-Activity-Classification
Equipment-Utilization-and-Activity-Classification PublicReal-time computer vision system for construction equipment analysis. Tracks utilization (Active/Inactive), classifies activities such as (Digging, Loading, Dumping), and computes working vs idle t…
Jupyter Notebook
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Brain-Tumor-Segmentation-using-UNet
Brain-Tumor-Segmentation-using-UNet PublicAdvanced brain tumor segmentation using pre-trained U-Net with ResNet34 encoder. Achieves 78% Dice score and 64% IoU on MRI images. Includes comprehensive fixes addressing common segmentation pitfa…
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Leaf-Disease-Detection-via-Faster-RCNN
Leaf-Disease-Detection-via-Faster-RCNN PublicA complete deep learning implementation for detecting and localizing leaf diseases using Faster R-CNN with ResNet50 + FPN backbone. This project demonstrates the end-to-end pipeline for object dete…
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Real-Time-Motion-Detection-System
Real-Time-Motion-Detection-System PublicA Python-based security system using OpenCV for real-time motion detection. It employs frame differencing and contour analysis to detect intruders, visualize movements with bounding boxes, and auto…
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Automatic-License-Plate-Detection-and-Recognition
Automatic-License-Plate-Detection-and-Recognition PublicAn end-to-end deep learning pipeline for automatic license plate detection and recognition from videos using YOLOv8 for object detection and EasyOCR for text extraction
Jupyter Notebook
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Concrete-Crack-Segmentation-via-UNet
Concrete-Crack-Segmentation-via-UNet PublicAI-powered crack detection in concrete using UNet. Achieves 99.77% Dice score with automatic mask inversion and data augmentation. Includes Gradio web interface for easy deployment. Production-read…
Jupyter Notebook
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