Given a short query with keyphrases about a research idea in 2018 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: We present a neural network model for reconstructing the 3D shapes of objects from shading

Keyphrases: shape-from-shading images

Dataset description:
ObjectsRoom: The ObjectsRoom dataset is based on the MuJoCo environment used by the Generative Query Network [4] and is a multi-object extension of the 3d-shapes dataset. The training set contains 1M scenes with up to three objects.
T-LESS: T-LESS is a dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects.
THEODORE: Recent work about synthetic indoor datasets from perspective views has shown significant improvements of object detection results with Convolutional Neural Networks(CNNs). In this paper, we introduce THEODORE: a novel, large-scale indoor dataset containing 100,000 high- resolution diversified fisheye images with 14 classes.
ShapeNet: ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the Toyota Technological Institute at Chicago, USA. The repository contains over 300M models with 220,000 classified into 3,135 classes arranged using WordNet hypernym-hyponym relationships.

Options:- A: ObjectsRoom  B: T-LESS  C: THEODORE  D: ShapeNet
ShapeNet