There will soon be widespread methods for the prediction of sepsis or diabetic retinopathy or for the early detection of Alzheimer ... tools such as PyTorch and TensorFlow and the large number of ...

Train your own TensorFlow Lite object detection models and run them on the Raspberry Pi, Android phones, and other edge devices! Get started with training on Google Colab by clicking the icon below, ...

It is using an object detection model that was trained with coco-2017 dataset. (Pre-Trained model of Google TensorFlow). There are 80 objects (labels) are available within this model. Those can be ...

Abstract: The objective of few-shot object detection (FSOD) is to detect novel objects with few training samples. The core challenge of this task is how to construct a generalized feature space for ...

Abstract: Recently, salient object detection (SOD) methods have achieved impressive performance. However, salient regions predicted by existing methods usually contain unsaturated regions and shadows, ...

and the Axelera Voyager SDK to simplie AI model deployment and optimization using TensorFlow, PyTorch, or ONNX models. The SDK offers the following: Model Zoo with (among others) Image classication – ...

We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. TensorFlow is a popular open-source machine learning framework used to train neural ...