How to use ImageNet Database in Matlab [closed]

1. Is ImageNet solved?
2. Is ImageNet a model or dataset?
3. How was ImageNet collected?
4. How many images are in ImageNet database?

Is ImageNet solved?

Today, many consider ImageNet solved—the error rate is incredibly low at around 2%.

Is ImageNet a model or dataset?

ImageNet is a large dataset of annotated photographs intended for computer vision research. The goal of developing the dataset was to provide a resource to promote the research and development of improved methods for computer vision.

How was ImageNet collected?

ImageNet was originally formed with the goal of populating the WordNet hierarchy with roughly 500-1000 images per concept. Images for each concept were gathered by querying search engines and passing candidate images through a validation step on Amazon Mechanical Turk.

How many images are in ImageNet database?

ImageNet-1K contains 1,281,167 training images, 50,000 validation images and 100,000 test images. The full original dataset is referred to as ImageNet-21K. ImageNet-21k contains 14,197,122 images divided into 21,841 classes. Some papers round this up and name it ImageNet-22k.