You're reading from Applied Deep Learning and Computer Vision for Self-Driving Cars

Product typeBook

Published inAug 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838646301

Edition1st Edition

Languages

Python

Tools

TensorFlow Keras

Concepts

Deep Learning

Authors (2):

Sumit Ranjan

Dr. S. Senthamilarasu

View More author details

Implementation of YOLO object detection

Now, let's explore how to implement YOLO v3 with Python. We will be using an implementation of YOLO v3 that has been trained on the COCO dataset.

The COCO dataset contains over 1.5 million object instances within 80 different object categories. We will use a pre-trained model that has been trained on the COCO dataset and explore its capabilities. Realistically, it would take many hours of training, even after using a high-end GPU, to achieve a reasonable model that can predict the required classes with good accuracy. Therefore, we will download the weights of the pre-trained network. This network is hugely complex, and the actual H5 file for the weights is over 200 MB in size.

Common objects in content (COCO) is a large-scale object detection, segmentation, and captioning dataset. The official website for COCO is http://cocodataset.org/#home.
COCO has several features:

Object segmentation
Recognition in context
Superpixel stuff...

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Applied Deep Learning and Computer Vision for Self-Driving Cars

Published in: Aug 2020Publisher: PacktISBN-13: 9781838646301

Authors (2)

Sumit Ranjan

Sumit Ranjan is a silver medalist in his Bachelor of Technology (Electronics and Telecommunication) degree. He is a passionate data scientist who has worked on solving business problems to build an unparalleled customer experience across domains such as, automobile, healthcare, semi-conductor, cloud-virtualization, and insurance. He is experienced in building applied machine learning, computer vision, and deep learning solutions, to meet real-world needs. He was awarded Autonomous Self-Driving Car Scholar by KPIT Technologies. He has also worked on multiple research projects at Mercedes Benz Research and Development. Apart from work, his hobbies are traveling and exploring new places, wildlife photography, and blogging.
Read more about Sumit Ranjan

Dr. S. Senthamilarasu

Dr. S. Senthamilarasu was born and raised in the Coimbatore, Tamil Nadu. He is a technologist, designer, speaker, storyteller, journal reviewer educator, and researcher. He loves to learn new technologies and solves real world problems in the IT industry. He has published various journals and research papers and has presented at various international conferences. His research areas include data mining, image processing, and neural network. He loves reading Tamil novels and involves himself in social activities. He has also received silver medals in international exhibitions for his research products for children with an autism disorder. He currently lives in Bangalore and is working closely with lead clients.
Read more about Dr. S. Senthamilarasu

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You're reading from Applied Deep Learning and Computer Vision for Self-Driving Cars

Implementation of YOLO object detection

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