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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:
SpecificationsMobileNetV2 SSD FPNFOMO
Labelling methodBounding boxesBounding Boxes
Input size320x320Square (any size)
Image formatRGBGreyscale & RGB
OutputBounding boxesCentroids
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