Object detection

Object detection tasks take an image and output information about the class and number of objects, position, (and, eventually, size) in the image.

Edge Impulse provides, by default, two different model architectures to perform object detection, MobileNetV2 SSD FPN-Lite uses bounding boxes (objects location and size) and FOMO uses centroids (objects location only).

Want to compare the two models?

See Object detection learning blocks documentation

Bounding Boxes

• Detect objects using MobileNet SSD (bounding boxes) Can run on systems starting from Linux CPUs up to powerful GPUs

Centroid

• Object detection using FOMO (centroids) Can run on high-end MCUs, Linux CPUs, and GPUs