Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

In this manuscript, an effective moving object detection and classification model is developed that includes four stages, namely pre-processing, segmentation, feature extraction, and classification.

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required.

These include object detection and classification such as plants, leaves, weeds, fruits as well as animals and pests in the agricultural domain. Object detection, one of the most fundamental and ...

How to build your custom object detector? The repo demonstrates on how to get started on creating your custom object detection model using Tensorflow. For this demo, I am using ssd_mobilenet_v2 as the ...

Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of building ...

Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and ...