---
datasets:
- McGill-NLP/WebLINX
language:
- en
pipeline_tag: image-to-text
tags:
- image-to-text
- computer-vision
- image-captioning
---
# AISAK-Visual

## Overview:

AISAK-Visual, part of the AISAK system, is a pretrained model for image captioning based on the BLIP framework. Altered by the AISAK team from the https://huggingface.co/Salesforce/blip-image-captioning-base model, this model utilizes a ViT base backbone for unified vision-language understanding and generation.

## Model Information:

- **Model Name**: AISAK-Visual
- **Version**: 1.0
- **Model Architecture**: Transformer with ViT base backbone
- **Specialization**: AISAK-Visual is part of the broader AISAK system and is specialized in image captioning tasks.

## Intended Use:

AISAK-Visual, as part of AISAK, is designed to provide accurate and contextually relevant captions for images. Whether used for conditional or unconditional image captioning tasks, AISAK-Visual offers strong performance across various vision-language understanding and generation tasks.

## Performance:

AISAK-Visual, based on the BLIP framework, achieves state-of-the-art results on image captioning tasks, including image-text retrieval, image captioning, and VQA. Its generalization ability is demonstrated by its strong performance on video-language tasks in a zero-shot manner.

## Ethical Considerations:

- **Bias Mitigation**: Efforts have been made to mitigate bias during training; however, users are encouraged to remain vigilant about potential biases in the model's output.
- **Fair Use**: Users should exercise caution when using AISAK-Visual in sensitive contexts and ensure fair and ethical use of the generated image captions.

## Limitations:

- While AISAK-Visual demonstrates proficiency in image captioning tasks, it may not be suitable for tasks requiring domain-specific knowledge.
- Performance may vary when presented with highly specialized or out-of-domain images.

## Deployment:

Inferencing for AISAK-Visual will be handled as part of the full deployment of the AISAK system in the future. The process is lengthy and intensive in many areas, emphasizing the goal of achieving the optimal system rather than the quickest. However, work is being done as fast as humanly possible. Updates will be provided as frequently as possible.


## Caveats:

- Users should verify important decisions based on AISAK-Visual's image captions, particularly in critical or high-stakes scenarios.

## Model Card Information:

- **Model Card Created**: February 1, 2024
- **Last Updated**: February 19, 2024
- **Contact Information**: For any inquiries or communication regarding AISAK, please contact me at mandelakorilogan@gmail.com.


**© 2024 Mandela Logan. All rights reserved.**

No part of this model may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the copyright holder. Users are expressly prohibited from creating replications or spaces derived from this model, whether in whole or in part, without the explicit authorization of the copyright holder. Unauthorized use or reproduction of this model is strictly prohibited by copyright law.