Tensorflow Object Detection with Python - Full Course with 3 Projects

Overview

This course on Tensorflow Object Detection aims to help learners become proficient in building deep learning models for object detection using Tensorflow. By the end of the course, students will be able to: - Install Tensorflow Object Detection on a local machine and on Colab - Collect and label images for object detection using LabelImg - Train deep learning object detection models using Python and TFOD - Detect objects in real-time using a webcam and images - Tune object detection models to enhance precision and recall - Export models to Tensorflow JS for integration in React JS web apps - Export models to TFLite for use on a Raspberry Pi The course includes projects on Gesture Detection, Microscope-Based Defect Detection, Web Direction Detection, and Face Sentiment Detection. The teaching method involves practical hands-on projects and step-by-step guidance. This course is suitable for beginners looking to delve into deep learning object detection with Tensorflow, particularly those interested in AI-powered object detection for various applications like courses, startups, or businesses.

Syllabus

- Start
- SECTION 1: Installation and Setup
- Cloning the Baseline Code from GitHub
- Creating a Virtual Environment
- SECTION 2: Collecting Images and Labelling
- Collecting Images Using Your Webcam
- Labelling Images for Object Detection using LabelImg
- SECTION 3: Training Tensorflow Object Detection Models
- Tensorflow Model Zoo
- Installing Tensorflow Object Detection for Python
- Installing CUDA and cuDNN
- Using Tensorflow Model Zoo models
- Creating and Updating a Label Map
- Creating TF Records
- Training Tensorflow Object Detection Models for Python
- Evaluating OD Models Precision and Recall
- Evaluating OD Models using Tensorboard
- SECTION 4: Detecting Objects from Images and Webcams
- Detecting Objects in Images
- Detecting Objects in Real Time using a Webcam
- SECTION 5: Freezing TFOD and Converting to TFJS and TFLite
- Freezing the Tensorflow Graph
- Converting Object Detection Models to Tensorflow Js
- Converting Object Detection Models to TFLite
- SECTION 6: Performance Tuning to Improve Precision and Recall
- SECTION 7: Training Object Detection Models on Colab
- SECTION 8: Object Detection Projects with Python
- Project 1: Detecting Object Defects with a Microscope
- Project 2: Web Direction Detection using Tensorflow JS
- Project 3: Sentiment Detection on a Raspberry Pi Using TFLite