Abstract: To address the challenge of detecting small objects in aerial and satellite remote sensing images with low-resolution, we propose a high-precision object detection method based on PFRNet.

Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...

Python is one of the most popular languages for developing AI and computer vision projects. With the power of OpenCV and face detection libraries, you can build smart systems that can make decisions ...

Recent research suggests that humans have a surprising ability—we can sometimes feel a physical object before making contact with it. In a study published this past October in the journal IEEE ...

Accurate and efficient crop row detection is essential for the visual navigation of agricultural machinery. However, existing deep learning–based methods often suffer from high computational costs, ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...