How big is ImageNet?

Clocking in at 150 GB, ImageNet is quite a beast. It holds 1,281,167 images for training and 50,000 images for validation, organised in 1,000 categories.

What are image databases?

1. An organized collection of digital images aimed at the efficient management and the processing of queries on this image collection Learn more in: Image Database Indexing Techniques.

Who created ImageNet?

scientist Fei-Fei Li
Fast forward 21 years and data scientist Fei-Fei Li came up with the idea of ImageNet at the University of Illinois Urbana-Champaign. At the time, most AI researchers thought algorithms were more important than the data itself.

How big is the Coco dataset?

328K images
The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images. Splits: The first version of MS COCO dataset was released in 2014.

What is 21K ImageNet?

ImageNet-21K dataset, which contains more pictures and classes, is used less frequently for pretraining, mainly due to its complexity, and underestimation of its added value compared to standard ImageNet-1K pretraining.

Is it good to store image in database?

Storing images in a database table is not recommended. There are too many disadvantages to this approach. Storing the image data in the table requires the database server to process and traffic huge amounts of data that could be better spent on processing it is best suited to.

Why did Stanford create ImageNet?

“We decided we wanted to do something that was completely historically unprecedented,” Li said, referring to a small team who would initially work with her. “We’re going to map out the entire world of objects.” The resulting dataset was called ImageNet.

What kind of images are in ImageNet?

ImageNet contains more than 20,000 categories, with a typical category, such as “balloon” or “strawberry”, consisting of several hundred images. The database of annotations of third-party image URLs is freely available directly from ImageNet, though the actual images are not owned by ImageNet.

Can COCO dataset be used commercially?

Yes, the MS COCO images dataset is licensed under a Creative Commons Attribution 4.0 License. Accordingly, this license lets you distribute, remix, tweak, and build upon your work, even commercially, as long as you credit the original creator.

How many images are there in COCO dataset?

The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images.