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 to “poison” (10[1])models (10[1])that train on it. A model designed for this type of data (10[1])introduced skip connections to enable deeper models. A 2018 study by Buolamwini and Gebru found evidence of discriminatory disparities in classifiers (10[1])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 (10[1])points, name this type of data generated by models (10[1])such as DALL-E (10[1])and Midjourney. (10[1]) (10[2])■END■