CWLeonis/Car_detection_Deep_learning
detecting model and the name of the cars with deep neural networks like VGG-16 , YOLOv5 and YOLOv8
Implements multi-framework vehicle detection with cross-frame tracking capabilities: VGG-16 leverages TensorFlow's object detection API for frame-by-frame car localization, while YOLOv5s and YOLOv8s use PyTorch for faster inference. The project adds temporal tracking across video sequences and trained YOLOv5s on a 2,100-image dataset (5 classes) sourced from Roboflow, enabling both static image and video stream processing with model comparison benchmarks.
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Jupyter Notebook
License
AGPL-3.0
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Last pushed
Sep 11, 2023
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