Home > Storage > PowerScale (Isilon) > Industry Solutions and Verticals > Analytics > PowerScale Deep Learning Infrastructure with NVIDIA DGX A100 Systems for Autonomous Driving > Introduction to ADAS DL training performance and analysis
In this section, the performance of DL training is tested for Cityscapes object detection and semantic segmentation, as shown in Table 2. The well-known dataset used was the Cityscapes Benchmark which consists of 2,975 training images with high quality dense pixel annotation, 500 validation images and 1,525 test images. This dataset is commonly used by ADAS DL researchers for benchmarking and comparison studies. Cityscapes has labeled 30 different classes.