---
base_model: vikhyatk/moondream2
library_name: peft
pipeline_tag: image-text-to-text
tags:
- vision
- image-classification
- web-automation
- lora
- transformers
---

# Moondream FlowMind - Web UI Element Classifier

LoRA adapter for Moondream2 fine-tuned on 2,711 web UI element screenshots to classify element purpose.

## Model Details

### Model Description

This is a LoRA adapter fine-tuned on vikhyatk/moondream2 (2024-08-26 revision) to classify web UI elements from screenshots. The model identifies 13 element types: menu, login, signup, search, submit, claim, cart, play, pause, skip-ad, close, accept, close-ad, unknown.

- **Developed by:** FlowHunter
- **Model type:** Vision-Language Model (LoRA adapter)
- **Base model:** vikhyatk/moondream2
- **License:** Apache 2.0
- **Finetuned from model:** vikhyatk/moondream2

### Model Sources [optional]

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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

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### Training Procedure

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#### Training Hyperparameters

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## Evaluation

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### Results

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Model Card Authors [optional]

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## Model Card Contact

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### Framework versions

- PEFT 0.19.1