Coursera Certificate 0

Applied Object Detection & Segmentation

Name: Applied Object Detection & Segmentation
Price: 49 USD
Availability: InStock

About this course

This specialization prepares you to build, evaluate, and deploy production-ready object detection and image segmentation systems. Across eight hands-on courses, you'll learn to create quality-controlled vision datasets, train and evaluate models using metrics like mAP, IoU, and Dice, and diagnose performance issues through slice-level analysis and error logging. You'll build real-time detection pipelines with YOLOv8 and DeepSORT, refine segmentation outputs using post-processing techniques like CRF smoothing, and optimize models for edge deployment with TensorFlow Lite. The program also covers deploying scalable inference workflows using Docker and AWS Lambda, calibrating confidence scores for trustworthy predictions, and communicating results to technical and non-technical stakeholders. By completion, you'll have the end-to-end skills to take computer vision models from notebooks to reliable, production-grade systems.

63/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

create quality-controlled vision datasets
train models using metrics like mAP and IoU
deploy scalable inference workflows using Docker and AWS Lambda
optimize models for edge deployment with TensorFlow Lite
build real-time detection pipelines with YOLOv8 and DeepSORT

Course objectives

prepare students to evaluate and deploy production-ready object detection systems
enable students to diagnose performance issues through slice-level analysis
prepare students to communicate results to both technical and non-technical stakeholders

Machine Learning Artificial Intelligence Deep Learning #model evaluation #computer vision #docker #object detection #post-processing #aws lambda #ml #image segmentation #yolo #tensorflow lite #real-time detection #error logging #dataset creation #confidence calibration

$49.00

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