Okay, here’s my attempt at a blog post about diving into something a bit… hands-on, inspired by the prompt.
Alright folks, let’s talk about something I was messing around with last night. You know how sometimes you get an idea stuck in your head and you just gotta see it through? Yeah, well, that was me with this “mandy *” thing.
So, first things first, I started by doing some digging around. I mean, I wasn’t trying to reinvent the wheel here, just wanted to see what was already out there. I hit up a few of the usual spots – you know, the places where this kind of stuff tends to hang out.
Honestly, finding the actual content wasn’t the hard part. The challenge was more about figuring out what to do with it once I had it. I didn’t just want to, you know, look at it. I wanted to… experiment. See what I could learn. I had this idea of training a small AI to classify different poses. Kinda dumb, I know, but hey, a project’s a project.
- Step one: Downloaded a bunch of images. Like, a lot of images.
- Step two: Spent way too long manually sorting them into categories. This was way more tedious than I thought it would be.
- Step three: Tried to get a basic image classification model working. Let’s just say my initial results were… not great. Think of it as a potato trying to identify different kinds of potatoes.
Debugging the disaster
I realized my initial approach was all wrong. The image quality was inconsistent, the dataset was a mess, and my model was way too simple.
So, I scrapped the whole thing and started over. I focused on cleaning up the dataset, getting rid of blurry images, and re-labeling everything more accurately. I even messed around with some image augmentation techniques to artificially expand my dataset.
The second time around, things went a lot smoother. I used a pre-trained model as a starting point (transfer learning FTW!), and the results were actually pretty decent. Not perfect, mind you, but definitely a step up from the potato.
Look, I’m not gonna pretend this was some groundbreaking research. It was just a fun little side project to kill some time and learn a few things. But hey, I got a working image classifier out of it, and maybe learned a thing or two about dataset cleaning along the way. And besides, who knows when that knowledge of image classification will be handy, right?
Would I recommend others try this? Probably not. There are definitely easier and less… morally questionable… ways to learn about machine learning. But hey, sometimes you just gotta follow your curiosity, right? Just don’t come crying to me if you end up spending all night sorting NSFW images. You’ve been warned!
