B.3: YOLO: image detection architectures

• Short Description: YOLOv5 is a family of compound-scaled object detection models trained on the COCO dataset, and includes simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, and export to ONNX, CoreML and TFLite.

• Reference, URL: https://pytorch.org/hub/datvuthanh_hybridnets/

• 'Applicable Business Category: Manufacturing (WEEE & Battery)

• Application in relevant Projects/Initiatives: N.A.

• Asse Type: ML Model

• AI Breadth: Deep Learning, Computer Vision

• Learning Ability: Supervised Learning

• Related technologies: Pytorch

• Applicable Research Area: Physical AI

• Applicable Technical Category: Computer Vision

• License Information: MIT license (MIT)

• Related to circularity and sustainability: No

• Audience: Manufacturers

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