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qhub-blip-image-captioning-finetuned

image-text-to-text

Inference Endpoints

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sguna commited on Nov 16, 2024

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 ### Fine-Tuned Image Captioning Model
-This is a fine-tuned version of BLIP for visual answering on images. This model is finetuned on Stanford Online Products Dataset comprising of 120k product images from online retail platform. The dataset is enriched with answers from LLMs and used to fine-tune the model.
 This experimental model can be used for answering questions on product images in retail industry. Product meta data enrichment, Validation of human generated product description are some of the examples sue case.

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 ### Fine-Tuned Image Captioning Model
+This is a fine-tuned version of BLIP for visual answering on retail product images. This model is finetuned on custom dataset with images from online retail platform and annotated with product description.
 This experimental model can be used for answering questions on product images in retail industry. Product meta data enrichment, Validation of human generated product description are some of the examples sue case.