---
title: "Meaning & Key Takeaway of: The paradigm shift of the ImageNet…"
description: "\"The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let's pay attention to data. Data will redefi..."
image: "https://sms4smile.com/quotes/i/a31/fei-fei-li-12223_attention_the-paradigm-shift-of-the-imagenet-think_1178836.jpg"
---

#  The paradigm shift of the ImageNet thinking is that while…

![“The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let's pay attention to data. Data will redefine how we think about models.” quote by Fei-Fei Li](https://sms4smile.com/quotes/i/a31/fei-fei-li-12223_attention_the-paradigm-shift-of-the-imagenet-think_1178836.jpg)   [Download](https://sms4smile.com/quotes/i/a31/fei-fei-li-12223_attention_the-paradigm-shift-of-the-imagenet-think_1178836.jpg) [Open image](https://sms4smile.com/quotes/i/a31/fei-fei-li-12223_attention_the-paradigm-shift-of-the-imagenet-think_1178836.jpg)

> “The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let's pay attention to data. Data will redefine how we think about models.”

[Fei-Fei Li](https://sms4smile.com/quotes/author/fei-fei-li/)

## About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

Emphasizes that data quality and curation are more crucial than model architecture for progress.

**In simple terms:** Data matters more than models.

Key Takeaway

Focus on gathering diverse, high‑quality data.

Themes

data research innovation

Mood

analytical forward‑looking

Type

educational strategic

When to use this quote

- training new models
- building datasets
- evaluating performance
- academic research

Key Concepts

machine learning dataset curation model bias

Questions to Reflect On

- How can we ensure data diversity?
- What metrics best assess data quality?

A Different Perspective

Data alone cannot fix poor methodology or lack of domain expertise.

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[Attention](https://sms4smile.com/quotes/about/attention/) [Data](https://sms4smile.com/quotes/about/data/) [Paradigm shift](https://sms4smile.com/quotes/about/paradigm-shift/) [Paying Attention](https://sms4smile.com/quotes/about/paying-attention/) [People](https://sms4smile.com/quotes/about/people/) [Technology](https://sms4smile.com/quotes/about/technology/) [Thinking](https://sms4smile.com/quotes/about/thinking/)

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