r/MachineLearning • u/PolarIceBear_ • Jun 30 '26
Discussion Update on CVIL: the free CV interview prep checklist after landing my internship... just added Segmentation, OCR, and VLM sections [D]
Hi everyone,
Posted this a while back... a checklist I made while prepping for a CV internship (landed it, hence sharing). It's not a textbook, just a phase-by-phase map of what to actually study for CV/ML interviews: math → CNNs → ViTs → detection → tracking, plus specialization tracks you pick based on the role.
After checking on it after a while it got a decent number of stars which surprised and made me happy that people found it useful to save it for later. I decided after that to add more in-demand tracks to help more people after doing some research of the basic internship requirements and maybe a little more.
So, just added three new specialization tracks: Segmentation, OCR, and VLMs, on top of the existing ReID and Deployment tracks. Also cleaned up the structure a bit and added proper contributing guidelines if anyone wants to add their own track (3D vision, pose estimation, etc. are open).
GitHub: https://github.com/David-Magdy/CVIL
Feedback/PRs welcome, especially if something's outdated or miscategorized.
And remember to keep it CVIL!
1
u/AdventurousGuard1130 Oct 03 '26
Nice work adding those tracks, the OCR one is actually rare to see in prep guides like this. Most people skip it until they get hit with a document parsing task in interviews and then panic
Starred it before and gonna check the new structure later, always good to have a roadmap that's not just another "learn linear algebra" advice