Happy Easter to all the dedicated image labellers out there. May your weekend be filled with more chocolate eggs than mislabelled objects. And if you're still working, BBoxML makes those boxes less painful. 🐰 bboxml.com

AI labelling is great, until your objects get weird. That's when manual speed matters. BBoxML cut a labelling job by 10% (7m53s vs 8m42s) by reducing cursor movements. Less wasted movement means more building, less clicking. Your wrist will thank us. bboxml.com

OpenAI just killed Sora after burning $15M/day on inference costs vs $2.1M lifetime revenue. Meanwhile, open-source video models are hitting 4K generation. The economics of AI video just got very real. Sometimes the math matters more than the hype.

That moment when you realise your brilliant CV model needs 10,000 hand-drawn bounding boxes first. Peak Thursday motivation killer. Unless you're using something built for speed. 🏎️ bboxml.com

NVIDIA just dropped their Physical AI Data Factory Blueprint and suddenly everyone's an autonomous vehicle expert. Meanwhile I'm still here helping you label that stop sign your model keeps misclassifying as a taco 🌮 bboxml.com

Spent way too long building a bounding box labeller that doesn't make me want to throw my laptop out of the window. Turns out other people had the same problem. 📦👉 bboxml.com