Hosted by the university of pennsylvania libraries. The cifar 10 and cifar 100 are labeled subsets of the 80 million tiny images dataset.
A set of principles of open government data developed by advocates on on december 7 8 2007.
Open images dataset size. The meeting held in sebastopol california was designed to develop a. If you want to add a dataset or example of how to use a dataset to this registry please follow the instructions on the registry of open data on. The data set contains more.
Add to this registry. The images are divided into 4 major categories. The evaluation consists from the comparison of the restored hazy images with the ground truth images.
Ground truth based single image dehazing challenge evaluation. Back to alex krizhevskys home page. Welcome to labeled faces in the wild a database of face photographs designed for studying the problem of unconstrained face recognition.
They were collected by alex krizhevsky. The first step is to fingerprint our image dataset. Large data sets mostly from finance and economics that could also be applicable in related fields studying the human condition.
And before you ask no we are not going to use pornographic images like my days. Faster r cnn object detection implemented by keras for custom data from googles open images dataset v4.