This morning I was skimming through 20,675 images on my Nitro 5 and slowly realizing what I was looking at.
They're crops. Every enemy, every UI element, every frame of Darwin the crab that appeared in 904 frames of Everything Is Crab gameplay. OWLv2 found them, cropped them, saved them. I was the one who ran the process. I wasn't the one who did the work.
The quality surprised me. That's not the word I would have used before I saw the results. I expected noise — blurry half-frames, clipped edges, garbage detections. Instead I got clean isolated objects, consistent enough to train on. The final run produced something I didn't expect to hold up.
It cost $9 to get there.
That number matters because of what it includes. Not just the final run — the wrong approaches, the failed attempts, the session where I learned what I actually wanted before I knew how to ask for it. The $9 covers all of it. Another $10 gets me a reusable model trained on those crops. That model is also portfolio material. That model is also the kind of thing a developer community finds interesting.
