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: I am implementing a deep convolutional neural network to perform image recognition.

Keyphrases: image recognition images paragraph-level

Dataset description:
AffectNet: AffectNet is a large facial expression dataset with around 0.4 million images manually labeled for the presence of eight (neutral, happy, angry, sad, fear, surprise, disgust, contempt) facial expressions along with the intensity of valence and arousal.
LOGO-Net: A large-scale logo image database for logo detection and brand recognition from real-world product images.
COVIDx: An open access benchmark dataset comprising of 13,975 CXR images across 13,870 patient cases, with the largest number of publicly available COVID-19 positive cases to the best of the authors' knowledge.
ObjectNet: ObjectNet is a test set of images collected directly using crowd-sourcing. ObjectNet is unique as the objects are captured at unusual poses in cluttered, natural scenes, which can severely degrade recognition performance.

Options:- A: AffectNet  B: LOGO-Net  C: COVIDx  D: ObjectNet
AffectNet