What you need to know about YOLOR, the latest state-of-the-art object detection model. Performance comparison to YOLO models.
Common baseline machine learning algorithms used for computer vision and artificial intelligence, such as logistic regression and more.
Learn about the AI accelerator Intel Neural Compute Stick 2 (NCS) and how it enables on-device AI Interference for Computer Vision.
Specialized AI hardware for machine learning inference on edge devices. List of the most popular AI accelerators of today.
Google Coral powers AI hardware for on-device computer vision applications. The AI accelerators allow fast and cost-efficient AI inferencing.
Tutorial of how to build your own computer vision people counting system using Viso Suite.
Overview of five deep learning frameworks: Tensorflow, Keras, PyTorch, MxNet, and Chainer. Speed up the production of deep learning models.
Easy guide to understand Confusion Matrix, Precision, Recall, Specificity, and F1 Score. Analyze the machine learning performance with Python.
Follow the viso blog to learn about new product features, the latest in visual deep learning technology, AI vision applications, and business initiatives.
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