<p>Sklearn has <a href="https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html" rel="nofollow noreferrer">digit dataset</a> with images of size <span class="math-container">$8 \times 8$</span>:</p>
<pre><code>Classes
10
Samples per class
~180
Samples total
1797
Dimensionality
64
Features
integers 0-16
</code></pre>

CC BY-SA 4.0
2021-09-05T18:52:37.983Z
2021-09-06T12:36:55.133Z
2021-09-06T12:36:55.133Z
spiridon_the_sun_rotator
<p>MNIST images are 28x28 pixels. Perhaps a silly question: is there anything like MNIST, but whose images have fewer pixels?</p>

CC BY-SA 4.0
2021-09-05T17:43:12.420Z
You could just down-sample the MNIST images, no?
Howlium
CC BY-SA 4.0
2021-09-05T17:48:55.270Z
Hello. Welcome to AI SE. It's not clear **why** you're asking this question. Please, edit your post to clarify that. Moreover, questions asking for datasets are generally off-topic here.
nbro
CC BY-SA 4.0
2021-09-06T05:45:22.627Z
Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
Community
<mnist>
MNIST with fewer pixels?
Ahmed Malik
# MNIST with fewer pixels?

(Asked by: username_0 on 2021-09-05)

MNIST images are 28x28 pixels. Perhaps a silly question: is there anything like MNIST, but whose images have fewer pixels?

**Tags:** mnist

> **Comments:**
> **username_1**: You could just down-sample the MNIST images, no?  
> **username_2**: Hello. Welcome to AI SE. It's not clear **why** you're asking this question. Please, edit your post to clarify that. Moreover, questions asking for datasets are generally off-topic here.  
> **username_3**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  

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## 1 answers

### Answer by username_4 on 2021-09-05. Score: 0 | Accepted answer

Sklearn has digit dataset with images of size $8 \times 8$:
Classes
10
Samples per class
~180
Samples total
1797
Dimensionality
64
Features
integers 0-16


---

