Feature Pyramid Network based on VGG16 and ResNet101
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Jan 8, 2022 - Python
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roi-pooling
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Successfully developed an object detection model using Faster R-CNN to detect safety helmets and ensure compliance at construction sites by accurately localizing helmets and personnel in real-time images.
computer-vision deep-learning pytorch faster-rcnn convolutional-neural-networks object-detection roi-selection torchvision roi-pooling region-proposal-network torchvision-model torchvision-transforms
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Jul 4, 2025 - Jupyter Notebook
Web interface for object recognition by manually providing RoI (Region of Interests).
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Nov 21, 2022 - Python
Successfully developed an object detection model using Faster R-CNN to detect and classify traffic signs in road images, enhancing autonomous driving and intelligent transportation systems.
computer-vision deep-learning torch pytorch faster-rcnn convolutional-neural-networks object-detection traffic-sign-detection roi-selection torchvision roi-extraction roi-pooling region-proposal-network torchvision-datasets torchvision-model torchvision-transforms feature-extraction-with-cnns
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Jul 4, 2025 - Jupyter Notebook
End-to-end implementation of Faster R-CNN from scratch, including custom backbone, Region Proposal Network (RPN), and ROI head, trained without pretrained weights to study detection internals and training dynamics.
computer-vision deep-learning pytorch neural-networks faster-rcnn rpn object-detection from-scratch roi-pooling model-implementation
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Apr 4, 2026 - Jupyter Notebook
A case study on Faster R-CNN and Mask R-CNN for object detection and instance segmentation.
deep-neural-networks architecture faster-rcnn object-detection instance-segmentation mask-rcnn cocodataset roi-pooling roi-align
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Apr 13, 2026
Successfully developed an object detection model using Faster R-CNN to detect and localize wind turbines in aerial imagery, aiding in automated monitoring and infrastructure assessment.
computer-vision torch pytorch faster-rcnn convolutional-neural-networks object-detection region-of-interest roi-selection torchvision roi-extraction roi-pooling region-proposal-network torchvision-datasets torchvision-model torchvision-transforms feature-extraction-with-cnns
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Jul 4, 2025 - Jupyter Notebook
Successfully developed an object detection model using Faster R-CNN to detect vehicles and traffic-related objects in real-time road scenes, supporting smart traffic monitoring and surveillance applications.
computer-vision deep-learning torch pytorch faster-rcnn object-detection region-of-interest faster-rcnn-resnet roi-selection torchvision roi-extraction roi-pooling region-proposal-network faster-rcnn-pytorch traffic-detection torchvision-datasets torchvision-model torchvision-transforms
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Jul 4, 2025 - Jupyter Notebook
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