stanislav-dykyi/child-emotion-drawings-pilot

Children's Emotional Drawings Pilot Dataset

A small balanced derived pilot dataset for experimental classification of emotional patterns in children's drawings.

Dataset

• —204 unique original drawings
• —492 total image instances
• —3 target classes: happiness, anxiety_depression, anger_aggression
• —Splits:
• —train: 432 images
• —validation: 30 images
• —test: 30 images

The dataset was created from the public anamelClassification dataset.

Original source: https://universe.roboflow.com/anamel/anamelclassification/dataset/1

Associated publication: Alshahrani A., Almatrafi M. M., Mustafa J. I., Albaqami L. S., Aljabri R. A. A Children's Psychological and Mental Health Detection Model by Drawing Analysis based on Computer Vision and Deep Learning. Engineering, Technology & Applied Science Research, 2024. DOI: https://doi.org/10.48084/etasr.7812

Construction

A balanced subset of 204 original drawings was selected:

• —68 happiness
• —68 anxiety_depression
• —68 anger_aggression

The anxiety_depression class was formed from source labels anxiety and sad for compatibility with the three-class experimental setup.

The original drawings were split into train/validation/test before augmentation. Two mild augmentations were applied only to the training split, resulting in 492 image instances in total.

License

The source dataset is distributed under CC BY 4.0. This derived dataset preserves attribution to the original source.

Citation

If you use this dataset, please cite:

Dykyi, S. (2026). Children's Emotional Drawings Pilot Dataset. Hugging Face Datasets. https://huggingface.co/datasets/stanislav-dykyi/child-emotion-drawings-pilot

Please also cite the original dataset/publication listed above.