Object detection

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

Edge Impulse provides several object detection model architecture options:

• Using FOMO

• Using MobileNetV2

Specifications	MobileNetV2 SSD FPN	FOMO
Labelling method	Bounding boxes	Bounding Boxes
Input size	320x320	Square (any size)
Image format	RGB	Greyscale & RGB
Output	Bounding boxes	Centroids
MCU	❌	✅
CPU/GPU	✅	✅
Limitations	(1) Works best with big objects. (2) Models use high compute resources (in the edge computing world). (3) Image size is fixed.	(1) Works best when objects have similar sizes and shapes. (2) The size of the objects are not available. (3) Objects should not be too close to each other