Object Detection

4 hours of instruction

This course introduces students to a special case of image analysis that addresses the problem of object detection in images. By the end of this course students will be able to create a YOLO – a deep learning model used specifically for such tasks.

OBJECTIVES

1. Define use cases for object detection in the space of image analysis
2. Analyze images for the purpose of automatic object classification

PREREQUISITES

Convolutional Neural Networks (CNN) for Image Recognition

SYLLABUS & TOPICS COVERED

1. Object Detection Overview
   • Summarize use cases and the basis of object detection
   • Define YOLO and its core features
2. Object Detection Implementation
   • Preprocessing data for object detection
   • Loading pre-trained weights and instantiate a YOLO model
   • Implementation of YOLO model
   • Prediction and evaluation of the results

SOFTWARE REQUIREMENTS

You will have access to a Python-based JupyterHub environment for this course. No additional download or installation is required.