This is an example application demonstrating how TensorFlow Object Detection API and pretrained models can be used to create a general object detection service. Products TensorFlow ...

Object detection small example projects using only OpenCV on python and no ML and Deep Learning. This includes a few object detection projects that I made during my (currently ongoing) process of ...

To communicate detection examples, you can use annotations, such as bounding boxes, labels, or scores, to indicate the detected objects and their confidence levels.

Object detection and recognition are essential skills for robotics, as they enable robots to perceive and interact with their environment. However, choosing the right hardware configuration for ...

Abstract: In this paper, we study object detection using a large pool of unlabeled images and only a few labeled images per category, named “few-example object detection”. The key challenge consists ...

Object detection is a fundamental task in computer vision that involves accurately locating and classifying objects within images or video frames. In remote sensing, this task is particularly ...

For example, an object detector trained to recognise a person sitting, standing, or walking, ... Object detection in videos can also be difficult because of the fast speed required of object detection ...