BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Paper
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2201.12086
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Published
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Model Card for BLIP: Bootstrapping Language-Image Pre-training
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
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
- Repository: BLIP Official GitHub
- Paper: BLIP: Bootstrapping Language-Image Pre-training
- Dataset: Recipes Dataset
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