Autonomous driving - car detection using the very powerful YOLO model
- Updated
Jul 18, 2018 - Python
Autonomous driving - car detection using the very powerful YOLO model
A barebone model built for detecting weapons in an image. It was built using YOLOv2 (You Only Look Once Algo version2). The model is built upon Darknet YOLO but is also ported on Tensorflow Lite, Protobuf file and also in YAD2K (Keras port of YOLO).
Using pre-trained YOLO algorithm to detect faces in photo ID documents for ID verification
YOLO Car Detection
Real time object detection on Pi, using YAD2K
Implementation of a car detection pipeline using pre-trained YOLO models. Part of Week 3 (Course 4: Convolutional Neural Networks) from the Deep Learning Specialization by Andrew Ng. Covers prediction, non-max suppression, and bounding box visualization.
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