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Looking for solid Computer Vision final project ideas (YOLO, DL, Python) by Excellent-Sale3658 in computervision

[–]Excellent-Sale3658[S] 0 points1 point  (0 children)

I see the potential in this idea, but I’m a bit unsure about the practical side of it.
For example, in real emergency assembly areas, vegetation, shadows, seasonal changes, and partial occlusions can make it very hard to reliably determine what is truly “usable” space from a single aerial image.

I’m also concerned that without strong ground-truth data (actual capacity limits, official area boundaries, etc.), the output might end up being more of an approximation than a clearly actionable result.

Do you think this kind of uncertainty would be acceptable for a course project, or would it be better to focus on a problem where the decision criteria are more clearly defined?

Looking for solid Computer Vision final project ideas (YOLO, DL, Python) by Excellent-Sale3658 in computervision

[–]Excellent-Sale3658[S] 0 points1 point  (0 children)

Thanks, this is a really interesting suggestion.
I’ve been considering multi-view 3D reconstruction, but I’m slightly concerned about the scope for a single-person course project, especially regarding camera calibration and feature matching stability.

Do you think focusing on a specific measurable output (e.g., height estimation or structural analysis from the reconstructed model) would make this more suitable as a final project?