> ## Documentation Index
> Fetch the complete documentation index at: https://landinglens.docs.landing.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LandingLens Demo with Benchmarks | Retinopathy of Prematurity

export const vp = 'Visual Prompting';

export const smartLabel = 'Smart Labeling';

export const productLL = 'LandingLens';

export const mi = 'Mobile Inference';

export const llsf = 'LandingLens on Snowflake';

export const companyName = 'LandingAI';

<iframe width="560" height="315" src="https://www.youtube.com/embed/VdKMtaXacmA?&wmode=opaque&rel=0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen />

This video demonstrates how to use LandingLens to train a computer vision model for a multiclass classification project using an open-access retinopathy of prematurity dataset.

It covers the end-to-end process, including data preparation, model training with custom augmentations, performance evaluation, and deploying the model for API-based inference.

LandingLens achieves a F1 score of 92 on the test set as compared to 83 published by the original authors that provided the data.

Original paper with links to download the dataset: [https://www.nature.com/articles/s41597-024-03362-5](https://www.nature.com/articles/s41597-024-03362-5)

Citation:

Zhao, X., Chen, S., Zhang, S. et al. A fundus image dataset for intelligent retinopathy of prematurity system. Sci Data 11, 543 (2024). [https://www.nature.com/articles/s41597-024-03362-5](https://www.nature.com/articles/s41597-024-03362-5)