Analyzing Images with Google’s Cloud Vision API
summary
Shows that Google Cloud Vision API (alpha) actually returns concrete JSON: label detection, face detection, text OCR and more, with bounding boxes, landmark lat/long, per-item confidence scores (example label 0.92) and emotion likelihoods (demo: nine faces, ~90% joy). Demonstrates sending base64 images from an iOS Swift app, parsing the results and writing label and landmark keys into Firebase; live demo runs fast and returns recognizable results (including obscure landmarks and theme‑park identification). API access requires signup.
AI-written summary · about
chapters (6)
- 0:00Start
- 10:18store the label data in firebase
- 14:07attach an asynchronous callback to your firebase reference
- 19:41display the label and face data
- 19:55get the label annotations
- 23:53add landmark detection
related talks
59mMachine Learning and Big Data Magic with Node.js and Google Cloud
17mCreating an artwork finder with the Cloud Vision API
37mSeeing is Believing: Mobile Vision API Deep Dive
41mMaking Android Apps with Intelligence
36mCloud AI Services: What they are and how to use them
01h 00mA lap around Microsoft Cognitive Services Vision API
44mAdding Image and Voice Intelligence to Your Apps
21mLive Coding: Adding Machine Learning to Android Things in 10 Mins
