Object Detection at Scale with Databricks and YOLO

YOLO: You Only Look Once

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.

TODO

• Notebooks
  • Distributed Training
  • Distributed Inference