HumanCaption 10M
Humancaption-10m is a vast data set of human images with natural textual descriptions, designed to improve facial recognition models and associated text generation. It is based on a second generation after Facecaption-15M, with a wide variety and quality.
Approximately 10 million human images with text descriptions, standard image formats, associated metadata
CC-BY 4.0
Description
HumanCaption-10m offers approximately 10 million images centered on humans, each accompanied by a description in natural language. This dataset aims to support research on the understanding of human images, text generation, and facial recognition tasks.
What is this dataset for?
- Training models for the generation of natural legends of human images
- Improving facial recognition systems with contextual descriptions
- Develop applications focused on the analysis of images of people and human interactions
Can it be enriched or improved?
It is possible to enrich this dataset by adding specific annotations (for example, emotions, social contexts) or by integrating additional metadata related to images and descriptions. Improvement also involves validating and correcting descriptions via crowdsourcing.
🔎 In summary
🧠 Recommended for
- Computer vision researchers
- Multimodal NLP
- Face AI developers
🔧 Compatible tools
- Hugging Face Datasets
- Transformers
- PyTorch
- TensorFlow
- Data cleaning tools
💡 Tip
Use advanced filtering techniques to ensure the quality of descriptions during training.
Frequently Asked Questions
What is the approximate size of the HumanCaption-10m dataset?
Approximately 10 million human images with natural language descriptions.
Is this dataset freely usable for commercial projects?
Yes, the CC-BY 4.0 license allows commercial use with mandatory attribution.
Are the original images provided directly in the dataset?
Images must be uploaded separately after accepting the original license agreement, according to the instructions in the dataset.
