Synthetic Food and Not Food Image Captions for Text Classifier Training

A small dataset of synthetic text captions describing food and non-food images. The text captions were generated using the Mistral Chat and Mixtral language models. It was created by author mrdbourke and last updated on June 7, 2024.

Use Cases

• Train a binary text classifier based on the described food/not_food labels.
• Benchmark model performance on synthetic text data based on the description.
• Demonstrate a text classification pipeline before applying it to a larger dataset based on the intended use case.

Strengths

• Captions were generated using specified large language models (Mistral Chat/Mixtral).
• Dataset creation process is documented in an accompanying Colab notebook.

Limitations

• Dataset is described as small, suggesting a limited scale for production use.
• Row count, column definitions, and file formats are unknown, complicating suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Synthetic generation using Mistral Chat/Mixtral language models.

Freshness

Last updated 2024-06-07 04:11:14.