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Computer vision model. Each sample is a single image accompanied by labels corresponding to each neighborhood feature (e.g., crosswalk). The feature extractor is VGG-19 or ResNet18 (depending on the feature analyzed) and is pretrained with ImageNet data. Each feature classifier is a single fully connected layer and the losses are cross entropy. The final loss for optimization is a summation of losses.
