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/

• Relevant Domain/Industry: WEEE & Battery

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

• Type: ML Model

• AI Breadth: DL, computer vision

• Learning Ability: Supervised learning

• Related technologies: Pytorch

• License Information: MIT license (MIT)

• Related to circularity and sustainability: No

• Audience: Manufacturer

Go back to the AI portfolio of reference implementations