Fréchet inception distance measures the quality of this type of data given two distributions of this data. The Nightshade tool adds noise to this kind of data (10[1])to “poison” models that train on it. A model designed for this type of data introduced skip connections to enable deeper models. A 2018 study by Buolamwini and Gebru found evidence of discriminatory disparities (10[1])in classifiers for this type of data. In an architecture primarily used for this type of data, pooling steps reduce dimensionality between operations that move a filter by a specified stride. A collection of this type of data developed by Fei-Fei Li was used for the ILSVRC competition. AlexNet and ResNet use convolutional neural networks to classify this type of data. For 10 points, name this type of data (10[1])generated by models such as DALL-E and Midjourney. ■END■