---
base_model: BLIP
library_name: peft
---

# Model Card for BLIP: Bootstrapping Language-Image Pre-training

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BLIP is a unified vision-language model designed for image captioning, visual question answering, and related tasks. The current implementation is pretrained for image captioning and fine-tuned on a food-specific dataset.

## Model Details

### Model Description

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BLIP (Bootstrapping Language-Image Pre-training) leverages vision transformers (ViT) for feature extraction and connects them with language models for unified vision-language understanding and generation. This particular model is fine-tuned to generate captions for food-related images.

- **Developed by:** Salesforce AI Research
- **Funded by:** Salesforce
- **Shared by:** Official BLIP repository
- **Model type:** Vision-language model
- **Language(s)**  English
- **Finetuned from model:** BLIP base pretrained on COCO dataset

### Model Sources 

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- **Repository:** [BLIP Official GitHub](https://github.com/salesforce/BLIP)
- **Paper:** [BLIP: Bootstrapping Language-Image Pre-training](https://arxiv.org/abs/2201.12086)
- **Dataset:** [Recipes Dataset](https://www.kaggle.com/datasets/pes12017000148/food-ingredients-and-recipe-dataset-with-images)