15 ms·
I have seen excellent performance with Florence-2 for OCR. I wrote https://blog.roboflow.com/florence-2-ocr/ https://blog.roboflow.com/florence-2-ocr/ that show
by zerojames 2y ago
I have seen excellent performance with Florence-2 for OCR. I wrote https://blog.roboflow.com/florence-2-ocr/ https://blog.roboflow.com/florence-2-ocr/ that shows a few examples.
Florence-2 is < 2GB so it fits into RAM well, and it is MIT licensed!
On a T4 in Colab, you can run inference in < 1s per image.
- eigenvalue 2y agoThis looks good, I will investigate integrating it into my project. Thanks!
- barrenko 2y agoThis is pretty cool, when checking how Microsoft models (then) stacked against Donut, I chose Donut, didn't know they published more models!
- myth_drannon 2y agoI couldn't find any comparisons with Microsoft's TrOCR model. I guess they are for different purposes. But since you used Florence-2 for OCR, did you compare the two?