This repository provides an unofficial implementation of the ViTDet paper, exploring plain Vision Transformer backbones for object detection. It supports training ViT and ViTAE models with Mask RCNN on COCO dataset, reporting box and mask mAP metrics. The implementation includes configurations for multiple model sizes (Base, Small) and supports GPU and TPU training.