datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
floorplans-cityscapes
Dataset Summary
This is a curated collection of floorplan images sourced from across the internet. It is intended for research in architectural AI, layout generation, and urban scene understanding.
Data format: Image files with associated integer labels.
Sources: Publicly available images from various web sources (This dataset is one unified collections).
Purpose: Educational and research use.
Dataset Structure
The dataset follows the standard Hugging Face Image… See the full description on the dataset page: https://huggingface.co/datasets/wheres-my-python/floorplans-cityscapes.cityscapesThis dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
Citation
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros},
title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
Networks},
journal = {CoRR},
volume = {abs/1703.10593},
year… See the full description on the dataset page: https://huggingface.co/datasets/huggan/cityscapes.Cityscapes_Style_2048_1024synthia-rand-cityscapes-16class-parquet_fixcityscapes_wds_indicessynthia-rand-cityscapes-16class-parquet
SYNTHIA-RAND-CITYSCAPES 16-class Parquet
Converted from the original SYNTHIA-RAND-CITYSCAPES release.
Notes
image: RGB image bytes
label: PNG bytes of remapped segmentation mask
Label train IDs are in [0..15]
Ignore label is 255
label_format: synthia_to_cityscapes16_trainid
cityscapesinstructPix2Pix_cityscapes_512cityscapes_valCaptioned_CityscapesCaptioned by caption_coco_opt6.7b
controlnet-cityscapes
Dataset Card for Dataset Name
Extract Cityscapes dataset (https://www.cityscapes-dataset.com/) training images and their semantic maps. Captions are generated with the pre-trained BLIP-large model. Please refer to the license session in Cityscapes if you would like to use the dataset.
Dataset Details
2975 training images and its semantic maps with auto-generated captions.
DSIC-Cityscapes_dataThis is the Cityscapes dataset used to train the models in the GitHub repository https://github.com/abilalk02/D-SIC. The original complete dataset can be found here: https://www.cityscapes-dataset.com/.
The train and test datasets should be downloaded and saved as .tar files in the 'data/train/without_captions' and 'data/test/without_captions' folders in the GitHub repository respectively. D-SIC is trained without text caption conditioning. Thus, the .txt files are empty.
Cityscapescityscapes_lscityscapes_generated