ASA ML GAMEPLAY - BEES : OBJECT DETECTION

The vast majority of the pictures used to train all neuronal networks described here have been supplied by INRA Team in Avignon through two research projects namely Florapis and Florabeilles.
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Our Object detection model follows the ResNet50 convolutional Faster-RCNN architecture.

It allows to locate in the image the bees belonging to two classes:
  • Apis = melliferous bees
  • Bombus = bumblebees

The model was trained on 7000 images of melliferous bees and 350 images of bumblebees.