Looking for real-use case Datasets to perform Domain Adaptation for Image Classification/ Recognition/ Obj. Detection

Hi PyTorch Community,

I am trying to test my architecture (proposed model) for Domain Adaption (Semi-Supervised or unsupervised) for Image Classifications or Object Detection (at later stage).

Can somebody suggest me similar datasets so that I can test my proposed technique ?

I found some related datasets:
MNIST→ USPS
USPS → MNIST
SVHN → MNIST
Office 31 dataset

Can somebody suggest me some real use case datasets or scenarios. If you find some related threads, please provide me.

Thanks in advance !