Whether for medical imaging, autonomous driving, agriculture automation, or robotics, scaling a computer vision (CV) project is tough and takes tons of micromanaging, tracking, and analysis for the best results. The data is usually annotated in batches because of the volume and multiplicity of iterations needed along the way. The batches undergo several revisions for […]
How to Train and Deploy Custom Models to OAK with Roboflow
In computer vision, there are number of general, pretrained models available for deployment to edge devices (such as OpenCV AI Kit). However, the real power in computer vision deployment today lies in custom training your own computer vision model on your own data to apply to your custom solution on your own device. To train […]
