Facelift Urban Scene Generator
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains the Urban scene generator trained on the Augmented streeview dataset. The model is trained in Caffe. The Model can be tested with the demo code seen here : https://github.com/sagarjoglekar/FaceliftGeneratorThe dataset contains the caffemodel weights and the generator description in the prototext file' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["GAN, Deep learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains the Urban scene generator trained on the Augmented streeview dataset. The model is trained in Caffe. The Model can be tested with the demo code seen here : https://github.com/sagarjoglekar/FaceliftGeneratorThe dataset contains the caffemodel weights and the generator description in the prototext file' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains the Urban scene generator trained on the Augmented streeview dataset. The model is trained in Caffe. The Model can be tested with the demo code seen here : https://github.com/sagarjoglekar/FaceliftGeneratorThe dataset contains the caffemodel weights and the generator description in the prototext file
GAN, Deep learning