Lecture Slides

All 12 CV-foundation lecture decks, by Sara Beery. Used in this course with attribution; please don't redistribute.

Pre-course assignment: watch Beery's YouTube intro lecture (~70 min) and skim Lectures 0, 2, and 11 below before Day 1. The remaining decks are covered during the in-person lectures on Days 1–5.

The decks are too large to live in the website's Git repository, so they are hosted as a GitHub release (tag cv4ecology). Each link below downloads the file directly from that release.

#	Title	Type	Size	Used in
0a	Intro and Logistics	PPTX	11.4 MB	Day 1 AM
0b	Intro to CV	PDF	50.6 MB	Day 1 AM
1	IDEs, git, and remote workflow	PPTX	2.1 MB	Day 1 PM
2	Data visualization, splitting, avoiding poisoning	PPTX	25.1 MB	Day 2 PM
3	Best practices for ML codebases	PDF	1.2 MB	Day 1 PM
4	Working with open-source CV codebases	PPTX	5.1 MB	Day 2 AM
5	Evaluation metrics	PDF	3.6 MB	Day 2 AM
6	Probing model performance	PPTX	22.0 MB	Day 3 AM
7	What's next: improving results	PPTX	21.3 MB	Day 2 PM
8	Squeezing your data	PDF	2.1 MB	Day 3 (supplement)
9	Ablation studies	PDF	1.5 MB	Day 3 (supplement)
10	Efficient models & speed vs accuracy	PDF	11.1 MB	Day 4 AM
11	What do I do with my (imperfect) model?	PPTX	9.1 MB	Day 5 PM

Attribution

These slides are by Sara Beery (Massachusetts Institute of Technology), from her Computer Vision short course. They are used here for the AI in Ecology course with attribution. Please do not redistribute the files; if you found them useful, link students to Sara's website and the YouTube lecture above.

If a PPTX won't open

Microsoft PowerPoint, Apple Keynote, Google Slides, and LibreOffice Impress all open .pptx. If you only have an older viewer, the equivalent in PDF form is in the slide deck on the same topic when both formats are linked above (e.g., Lectures 0a vs 0b cover the same broad area in different formats).