Given a short query with keyphrases about a research idea in 2020 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: I would like to use deep learning to train a model that predicts the number of bits and distortion of

Keyphrases: rate-control video

Dataset description:
COCO: The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images.
CompCars: The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature data contains 163 car makes with 1,716 car models.
ICB: A carefully chosen set of high-resolution high-precision natural images suited for compression algorithm evaluation. The images historically used for compression research (lena, barbra, pepper etc...) have outlived their useful life and its about time they become a part of history only.
PieAPP dataset: The PieAPP dataset is a large-scale dataset used for training and testing perceptually-consistent image-error prediction algorithms. The dataset can be downloaded from:  server containing a zip file with all data (2.2GB) or Google Drive (ideal for quick browsing).

Options:- A: COCO  B: CompCars  C: ICB  D: PieAPP dataset
COCO