Given a short query with keyphrases about a research idea in 2014 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: A new method of extended dynamic programming (EDP) with recursive minimum search (

Keyphrases: stereo motion

Dataset description:
Middlebury: The Middlebury Stereo dataset consists of high-resolution stereo sequences with complex geometry and pixel-accurate ground-truth disparity data. The ground-truth disparities are acquired using a novel technique that employs structured lighting and does not require the calibration of the light projectors.
NAS-Bench-201: NAS-Bench-201 is a benchmark (and search space) for neural architecture search. Each architecture consists of a predefined skeleton with a stack of the searched cell.
NVGesture: The NVGesture dataset focuses on touchless driver controlling. It contains 1532 dynamic gestures fallen into 25 classes.
Oxford105k: Oxford105k is the combination of the Oxford5k dataset and 99782 negative images crawled from Flickr using 145 most popular tags. This dataset is used to evaluate search performance for object retrieval (reported as mAP) on a large scale.

Options:- A: Middlebury  B: NAS-Bench-201  C: NVGesture  D: Oxford105k
Middlebury