Now it has action recognition capability by using i3d module in tensorflow hub. NOTE: The object detection codes are based on jupyter notebook inside of the object detection API. The code also ...

The tutorial is the workflow from labeling objects (using vott), building a object detection model in tensorflow, training it locally, and then embedding it on cloud API server or mobile device. The ...

Computer vision-based ... object detection helps detect, locate, and trace an object from an image or a video with the use of these technologies. This paper proposes a method to interface this ...

Google is releasing a new TensorFlow object detection API to ... The handful of models included in the detection API include heavy duty inception-based convolutional neural networks and ...

A dataset suitable for TensorFlow's Object Detection API has been prepared for traffic signs by using photographs in different traffic and weather conditions. A web-based data tagging application has ...

One of the tools that can be put to work in object recognition is an open source library called TensorFlow ... opens up a lot of creative low-cost detection applications for the Pi, such as ...