Calendar

Week 1 - Introduction to Machine Learning

Week 2 - Experiments for Students

July 22
LectureComputer Vision
HandoutIntroduction to Object Tracking
July 23
LectureComputer Vision
HandoutIntroduction to Object Tracking (Continued)
DemoCVAT Tutorial
DemoGoogle Colab Tutorial
Workshop Lesson Plan Brainstorming Session
DatasetsRoboflow Universe
DatasetsExample: Bottle Detection Datasets
July 24
LectureComputer Vision
DemoMonocular Depth Estimation (on a Raspberry Pi)
DemoTraining a YOLOv8 Model for Object Detection
ReadingThe Bitter Lesson
July 25
Workshop Lesson Plan Brainstorming Session

Week 3 - Various Topics on Vision and AI

July 29
LectureComputer Vision
ReadingFrom depth maps to point clouds
DatasetsNYC Open Data
DemoTiny YOLO Models for Deployment to Raspberry Pi 5
July 30
LectureModel Evaluation
HandoutConcepts in Deep Learning
ReadingAverage Precision
DemoDecision Thresholds
DemoDecision Thresholds: Real World Demo

Workshop Work on Lesson Plans

July 31
Workshop Work on Lesson Plan Presentations
LectureGuest Lecture: Sharon Di
August 1
Workshop Work on Lesson Plans

Week 4 - Advanced Topics and Preparation for the Presentation

August 5
LectureIn-Class Demos with Huggingface
DemoOn-Browser Visual Language Model
DemoZero Shot Object Detection
DemoModel Cards: Gemma2
Workshop Work on Lesson Plans
August 6
LectureBias, Stylization and Diffusion
DemoArtist
DemoLivePortrait
Workshop Work on Lesson Plans
August 7
Review Finalizing Lesson Plans
August 8
Final Day Lesson Plan Presentations

Final Presentations

August 8
LessonTraining Neural Networks
SlidesLesson Plan
PlanSlides
LessonBikes in NYC
SlidesLesson Plan
PlanSlides
LessonHousehold Object Detection with AI
SlidesLesson Plan
PlanSlides
LessonBiased Data Analysis
SlidesLesson Plan
PlanSlides
LessonCumulative Frequency Distribution
SlidesLesson Plan
PlanSlides