Update on CVIL: the free CV interview prep checklist after landing my internship... just added Segmentation, OCR, and VLM sections [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
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Feedback/PRs welcome, especially if something's outdated or miscategorized.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!
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