Image Classification Benchmark

[justinormont]

@Anipik: We could make a good benchmark for the image processing pipeline.
I'd recommend using the Dog Breeds vs. Fruits dataset which we used in NimbusML for its image examples. We currently host this dataset in our CDN for NimbusML.

In Python, the dataset / image loader looks like:

# Load image summary data from github
url = "https://express-tlcresources.azureedge.net/datasets/DogBreedsVsFruits/DogFruitWiki.SHUF.117KB.735-rows.tsv"
df_train = pd.read_csv(url, sep = "\t", nrows = 100)
df_train['ImagePath_full'] = "https://express-tlcresources.azureedge.net/datasets/DogBreedsVsFruits/" + \
                         df_train['ImagePath']
... load images

Purpose of the dataset is for example code & includes ~775 images of dogs & fruit:

(copied from PR -- #2372 (review))

[Anipik]

yeah it would be nice to have this. I can add a benchmark for this after #2372 gets merged