LinkedIn is a soul-sucking hole of professionalism and a pit of hell that not even my worst enemy should spend the rest of his days in. It's this concoction of performative productivity and corpo speak producing cursed artifacts beyond human comprehension. A place where normal human text goes to die and can only be kept alive by an LLM like a radiation protection suit. And I wanted to look into the performative projects people keep making that are all over my feed.
It is legit the most unbearable stuff you would see. My third cousin got hit by a truck today! Here's what it taught me about business management And everyone carries this fake tone of being "visionary" and "forward-thinking" and "professional"It's SO tiring. And then you look at the projects they are posting. Genuinely, every time I open Linked In, I get hit by these Computer Vision Projects of some guy waving his hand around, and it tracks them. Like, I wouldn't mind if it was one of these, but it is legit all I see. It is just every other post some guy waving his hand around doing NONSENSE.It's not even useful. It's not even something anyone would like using. It's just "look at me computer vision"I am pretty sure they either vibecode it or get it from a tutorial. cuz EVERY SINGLE ONE IS THE SAME.
I decided to make a detector for the " Excited to announce I made a YOLO project" posts. I am learning this from scratch; I've never done this before. It took me an hour and a half to learn and make the whole thing, and most of it was just drawing boxes and waiting for the model to be trained. I wrote a script to collect images by scrolling through my feed and taking screenshots. Now I created a Roboflow account, created my project, and uploaded my screenshots. I just had to scroll through the screenshots and annotate them by drawing a box around the things I think need to be detected. It was pretty mechanical. Took about 20 minutes.
This project also showed me that real-world computer vision is not just about detecting objects; lighting, road conditions, camera angles, and overlapping detections can all affect performance. I am so tired of seeing these. How difficult is it to produce one of these projects that looks impressive on Linked In?(spoiler. pretty easy.)