Open-source app for collecting field data for computer-vision projects
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We build computer-vision systems for a living: shelves in stores, cattle on farms, parts on a conveyor. On almost every one, the thing that eats the lots of time is getting clean data out of the field. Usually it goes like this. You tell the client "just photograph your shelves," and you get a pile of images in WhatsApp and email, half of them blurry and dark, no idea which photo is which SKU or which animal. Then someone on your side copies them around by hand. Тraining the model is rather…
1Key Takeaways
- We build computer-vision systems for a living: shelves in stores, cattle on farms, parts on a conveyor.
- On almost every one, the thing that eats the lots of time is getting clean data out of the field.
- You tell the client "just photograph your shelves," and you get a pile of images in WhatsApp and email, half of them blurry and dark, no idea which photo is which SKU or which animal.
- Then someone on your side copies them around by hand.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that we build computer-vision systems for a living: shelves in stores, cattle on farms, parts on a conveyor.
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