Move beyond generic OCR. Learn how to fine-tune Microsoft's powerful Florence-2 Vision Language Model on your custom dataset to extract exactly the text you need with incredible accuracy. Optical Character Recognition (OCR) has been a long-standing challenge in computer vision. While traditional models like EasyOCR or PaddleOCR are
Foundation models are revolutionizing computer vision, and Meta's DINOv3 stands out as a particularly powerful vision backbone. If you're looking to achieve state-of-the-art performance on your custom image classification tasks, DINOv3 is an excellent choice. In this guide, we'll walk through a complete workflow
What is Small Object Detection? Detecting very small objects in images is a hard problem in computer vision. Normally, when an image is sent through a detection model, it has to be resized to fit the model’s input size, which is usually no bigger than about 2000 × 2000 pixels.