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 ...

Object detection algorithms typically output bounding boxes around the identified objects. Examples of object detection tasks include identifying pedestrians, cars, or animals in surveillance ...

Infrared few-shot object detection (IFSOD) aims to detect infrared objects with limited labeled examples. Current infrared datasets, however, suffer from limited diversity in object types and classes, ...

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

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 ...