The history of ImageNet

Perhaps, it contains bad data, like when you want to create a neural network to figure out cats among colored images, and the dataset contains black and white images. The researchers handed the finished work to the Pentagon, which soon handed it back, complaining that in their own tests the neural network did no better than chance at discriminating photos.It turned out that in the researchers’ dataset, photos of camouflaged tanks had been taken on cloudy days, while photos of plain forest had been taken on sunny days. ImageNet
Fei-Fei Li, who was the director of the Stanford Artificial Intelligence Laboratory and also the Chief Scientist of AI/ML at Google Cloud, realized that data was such an important piece of the development of Machine Learning algorithms early on, whereas most of her colleagues did not believe the same.

Source: hackernoon.com