AI Engineering/Phase 04/Lesson 16

Build a Complete Vision Pipeline — Capstone

A production vision system is a chain of models and rules stitched with data contracts. The pieces are already in this phase; the capstone wires them together end-to-end.

Build 2 hr Python

Prerequisites: Phase 4 Lessons 01-15

#Learning Objectives

Design a production vision pipeline that detects objects, classifies them, and emits structured JSON — with every failure path handled
Plug a detector (Mask R-CNN or YOLO), a classifier (ConvNeXt-Tiny), and a data contract (Pydantic) into one service
Benchmark the end-to-end pipeline and identify the first bottleneck (usually preprocessing, then the detector)
Ship a minimal FastAPI service that accepts an image upload, runs the pipeline, and returns detections with classifications

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.