This guide will take you the long distance from unlabeled images to a working computer vision model deployed and inferencing live at 15FPS on the affordable and scalable Luxonis OpenCV AI Kit (OAK) device.
Impatient? Jump to our VGG-16 Colab notebook. Image classification models discern what a given image contains based on the entirety of an image's content. And while they're consistently getting better,
The appeals of synthetic data are alluring: you can rapidly generate a vast amount of diverse, perfectly labeled images for very little cost and without ever leaving the comfort of your office. The good news is: it's easy to try! And we're about to show you how.
We're introducing a new experiment this week: Roboflow is launching a Roboflow YouTube channel.We've been encouraged by the popularity of our computer vision tutorials. When Googling for some architectures,
TensorFlow expedites the machine learning process markedly. From abstracting complex linear algebra to including pre-trained models and weights, getting the most out of TensorFlow is a full-time job. However, when
The success of your machine learning model starts well before you ever begin training. Ensuring you have representative images, high quality labels, appropriate preprocessing steps, and augmentations to guard against