Okay, so here’s the deal. I was messing around with some image recognition stuff the other day, and I thought, “Hey, let’s try something fun.” That’s how the whole ‘Snow White’s Apple’ thing started.
First off, I grabbed a bunch of pictures of apples. Like, a ton of them. Red ones, green ones, some with bites taken out, some all shiny and perfect. I figured the more variety, the better the AI would learn what an apple actually looks like.
Next, I needed some “not apple” pictures. This is where it got a bit random. I threw in pictures of oranges, pears, dogs, cats, even a few random selfies just to confuse the system. Gotta keep it on its toes, you know?
Then came the coding part. I’m using Python with TensorFlow and Keras, because that’s what I’m comfortable with. I basically built a simple convolutional neural network (CNN). It’s not rocket science, just a few layers to detect edges, shapes, and colors.
After building the model, I started training it. This involved feeding it all those apple and non-apple pictures I gathered. I split the data into training and validation sets, so I could see how well the model was learning as it went. There was a lot of tweaking involved here – adjusting the learning rate, messing with the number of epochs, trying different activation functions. It was a bit of a grind, honestly.
The trickiest part? Getting the accuracy high enough. At first, the model was constantly confusing apples with oranges (go figure!). I had to add more apple pictures with different lighting and angles, and that seemed to help. Also, more non-apple examples with round shapes to really make it differentiate.
Once I was happy with the accuracy (around 90%, not perfect but good enough for a fun project), I tried feeding it some real-world apple pictures. You know, the kind you’d find on Google Images. It did pretty well! Even managed to identify an apple in a blurry picture, which I was pretty impressed with.
Finally, for the “Snow White” part, I found a picture of Snow White holding an apple. I ran that through the model, and bam! It correctly identified the apple. Felt pretty good, like I’d actually accomplished something. It’s silly, I know, but it’s fun to see these things work. It’s a great project to learn the basics of image recognition.
- Gathered a bunch of images
- Built a CNN model
- Trained it with apple and non-apple images
- Tested it on a picture of Snow White’s apple.
And that’s pretty much it. Just a little experiment to see what I could do with image recognition and a classic fairytale. Now, what should I try next?
