Given a short query with keyphrases about a research idea in 2019 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 propose to optimize bit allocation for task-driven image/video coding using reinforcement

Keyphrases: image/video coding

Dataset description:
Alchemy: The DeepMind Alchemy environment is a meta-reinforcement learning benchmark that presents tasks sampled from a task distribution with deep underlying structure. It was created to test for the ability of agents to reason and plan via latent state inference, as well as useful exploration and experimentation.
Vimeo90K: The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing. It proposes three different video processing tasks: frame interpolation, video denoising/deblocking, and video super-resolution.
ImageNet: The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection.
COCO-Tasks: Comprises about 40,000 images where the most suitable objects for 14 tasks have been annotated.

Options:- A: Alchemy  B: Vimeo90K  C: ImageNet  D: COCO-Tasks
ImageNet