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roi-extraction

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SayamAlt / Wind-Turbines-Detection-using-Faster-R-CNN

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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
  • Updated Jul 4, 2025
  • Jupyter Notebook

SayamAlt / Traffic-Detection-using-Faster-R-CNN

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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
  • Updated Jul 4, 2025
  • Jupyter Notebook

SayamAlt / Traffic-Signs-Detection-using-Faster-R-CNN

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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
  • Updated Jul 4, 2025
  • Jupyter Notebook

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