oye-cartoon / README.md
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---
license: apache-2.0
dataset_info:
features:
- name: target
dtype: image
- name: condition
dtype: image
- name: condition_description
struct:
- name: description
dtype: string
- name: pose
dtype: string
- name: expression
dtype: string
- name: facing_direction
dtype: string
- name: target_description
struct:
- name: description
dtype: string
- name: pose
dtype: string
- name: expression
dtype: string
- name: facing_direction
dtype: string
- name: tags
sequence: string
splits:
- name: train
num_bytes: 2733789016.436
num_examples: 2372
download_size: 2864265049
dataset_size: 2733789016.436
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
## Oye cartoon dataset
We aim to create a high quality dataset of cartoon images. Each cartoon in the image has two poses. All the images are created by AI and filtered/fixed by human.
The goal is to create a dataset that enables training of models that can generate pose variations, given a reference cartoon image.
The images are generated using Flux dev model, and hence its their license applies to it- https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev
## Sponsorship
The dataset is sponsored by TheFluxTrain (https://thefluxtrain.com/)
TheFluxTrain enables people to create personalised creatives using AI models. The plafform also enables people to train their own models, with very little or no technical knowledge.