In this project, we implemented simplified versions of two state-of-the-art architectures for multi-object detection in YOLOv3 and MDOD. Each directory contains the code needed to run the models and instructions on how to run them.

References:

Link to Ultralytics' Respository for YOLOv3: https://github.com/ultralytics/yolov3

Link to Respository for MDOD: https://github.com/yoojy31/MDOD

Link to Tutorial for FiftyOne Dataloader Tutotorial: https://colab.research.google.com/github/voxel51/fiftyone-examples/blob/master/examples/pytorch_detection_training.ipynb#scrollTo=IRR2fVMlWeKI