A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

What is the optimal approach for 3D object detection? How and why the datasets and metrics generated by academia may not be the best tools for developing real-world applications such as 3DOD. 3D ...

A research team developed a drone-based, semi-supervised learning pipeline that detects both maize seedlings and missing plants at early growth ...

The object detection network is trained on the annotated data until it can find regions in images that correspond to each kind of object. Now let’s look at a few object-detection neural network ...

More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.