The dataset preview is not available for this dataset.
Error code: SplitsNamesError
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 388, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/tmp/modules-cache/datasets_modules/datasets/diwank--lld/92954fce2a14e8daa8b7c917f61593fdd8b4881924ff83e00fe497db7b943ca8/lld.py", line 55, in _split_generators
df = pd.read_hdf(archive_path)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/pandas/io/pytables.py", line 414, in read_hdf
raise FileNotFoundError(f"File {path_or_buf} does not exist")
FileNotFoundError: File https://huggingface.co/datasets/diwank/lld/resolve/main/data/lld-processed.h5 does not exist
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/workers/datasets_based/src/datasets_based/workers/splits.py", line 119, in compute_splits_response
split_items = get_dataset_split_full_names(dataset=dataset, use_auth_token=use_auth_token)
File "/src/workers/datasets_based/src/datasets_based/workers/splits.py", line 76, in get_dataset_split_full_names
return [
File "/src/workers/datasets_based/src/datasets_based/workers/splits.py", line 79, in <listcomp>
for split in get_dataset_split_names(path=dataset, config_name=config, use_auth_token=use_auth_token)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 442, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 393, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Open an discussion for direct support.
Dataset Card for Large Logo Dataset (LLD)
Description
Adapted from the original LLD dataset. Original description:
Designing a logo for a new brand is a lengthy and tedious back-and-forth process between a designer and a client. In this paper we explore to what extent machine learning can solve the creative task of the designer. For this, we build a dataset -- LLD -- of 600k+ logos crawled from the world wide web. Training Generative Adversarial Networks (GANs) for logo synthesis on such multi-modal data is not straightforward and results in mode collapse for some state-of-the-art methods. We propose the use of synthetic labels obtained through clustering to disentangle and stabilize GAN training. We are able to generate a high diversity of plausible logos and we demonstrate latent space exploration techniques to ease the logo design task in an interactive manner. Moreover, we validate the proposed clustered GAN training on CIFAR 10, achieving state-of-the-art Inception scores when using synthetic labels obtained via clustering the features of an ImageNet classifier. GANs can cope with multi-modal data by means of synthetic labels achieved through clustering, and our results show the creative potential of such techniques for logo synthesis and manipulation.
Schema
- name: <string> Name of the company / organization
- description: <string> Description of what the organization does
- images: <np.uint8, shape(3, 400, 400)> Three logo images of 400x400
Citations
@misc{sage2017logodataset,
author={Sage, Alexander and Agustsson, Eirikur and Timofte, Radu and Van Gool, Luc},
title = {LLD - Large Logo Dataset - version 0.1},
year = {2017},
howpublished = "\url{https://data.vision.ee.ethz.ch/cvl/lld}"}
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