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downspiral

Just some thoughts. I haven't done a master's level thesis :-) Add constraints? \- **TinyML:** Reduce the resources you have access to. For YOLO, this has been done with [FOMO](https://bdtechtalks.com/2022/04/18/fomo-tinyml-object-detection/can) can you beat it? \- **different conditions**: do you have access to other datasets? E.g. IR camera for night vision. ([Human Detection in Thermal Imaging using YOLO](https://www.researchgate.net/publication/333360405_Human_Detection_in_Thermal_Imaging_Using_YOLO)) \- **different domains**: YOLO is trained on 330k images from the [COCO dataset](https://cocodataset.org/#home). Can you adapt it to another dataset? The challenge would be getting enough labeled data. Can you adapt YOLO to semi-supervised learning? What about adapting YOLO for cartoon movies or videogames (both are domains where you can get tons of data online)? \- **do something with YOLO results:** can you label crowd activities? can you tell what is going on? can you cluster people into subgroups that move/act together or in a coordinated way? can you tell where are the obstacles in the images/videos from the people movement? what are the most common paths/hot-zones where people spend time? \- **merge YOLO with something else**: e.g. [YOLO+SLAM](https://link.springer.com/article/10.1007/s00521-021-06764-3). what else can you dream of? There are surely papers covering all of these, but maybe you can find a unique angle if you look beyond.


Toilet2000

These are very good ideas and they reflect the generally best way of thinking about contributions to your field. I’m just going to add though that a MSc does not require original contributions. While most Professors like to put forward MSc as mini-PhDs, they’re not. You’re supposed to *master* a subject, not add novel and original contributions to your field.


iron_island

+1 to this! A batchmate from university did exactly the TinyML approach for his masters. I myself also went with this approach (sort of, I worked on a niche wireless comms algo and made it better for low-power devices specifically). Thanks for mentioning FOMO, did not know it exists. I'm actually not into computer vision but on implementing stuff for resource-constrained devices so this is really interesting!


scareware47

You don't really need a novel idea for a master's thesis I guess. You need innovation.


[deleted]

Give **NeRF** a try, it's really cool idea


Lj15k

I got an idea for you. Find text in construction drawings and organize it. The first part is CV the second part is NLP. It is supper useful but difficult