Traffic Light Recognition (TLR) Architecture: 2D Bounding Box Detection

1. 1Build a Fully Convolutional Network (FCN) model for image classification
2. 2Configure the FCN model with Feature Pyramid Network (FPN) for better feature extraction
3. 3Implement an anchor-free approach for 2D bounding box detection
4. 4Test the Traffic Light Recognition (TLR) model on a dataset of images with traffic lights
5. 5Apply the TLR model to real-world applications such as autonomous vehicles or smart traffic management

Machine learning engineers and computer vision specialists can benefit from this architecture to improve traffic light detection accuracy in autonomous vehicles

💡 Anchor-free approach can improve detection accuracy by reducing the number of false positives

🚦 Improve traffic light detection with anchor-free 2D bounding box detection using Fully Convolutional Networks! #MachineLearning #ComputerVision