Face Caption-15m
FaceCaption-15m is a dataset of diverse facial images with detailed natural textual descriptions, designed to train multimodal models on face-related tasks.
Approximately 13 million image-description pairs, 5+ partial GB in Parquet format
CC-BY 4.0
Description
The dataset Face Caption-15m contains over 15 million pairs of facial images and their natural descriptions in human language. Descriptions vary in length and detail, suitable for uses ranging from simple generation to training advanced multimodal models.
What is this dataset for?
- Train models to generate natural facial descriptions
- Improving multimodal face-text comprehension
- Develop applications for synthesis and detailed facial recognition
Can it be enriched or improved?
Yes, it is possible to add additional annotations such as emotions, contexts, or to enrich the descriptions for greater precision. Integrating other image sources could also increase diversity.
🔎 In summary
🧠 Recommended for
- Computer vision researchers
- Multimodal model developers
- Facial recognition projects
🔧 Compatible tools
- Hugging Face Transformers
- PyTorch
- TensorFlow
- Multimodal tools
💡 Tip
Choose targeted subsets for specific tasks to optimize resources.
Frequently Asked Questions
What is the exact volume of the Facecaption-15m dataset?
The dataset contains approximately 13 million image-description pairs, with a partial file size of over 5 GB.
Do you need validation or agreement to access the complete dataset?
Yes, it is necessary to complete an agreement to access the original Laion-face data mentioned in the documentation.
Can this dataset be used to train facial synthesis models?
Yes, it is ideal for training models that can generate natural and detailed facial descriptions.
