# ExML-Prelims-Task-2 — Data

来源：https://www.kaggle.com/competitions/exml-prelims-task-2/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The training data contains 24 images per class. Most images are of size ```(100px x 100px)```.
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**Note: Augmentation Techniques are allowed**

##Note : If you can't download the dataset, try downloading the files individually.

#A note on hand labeling <br>
Per the rules and spirit of this contest, please do not manually label your submissions.
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However, given that there is always one willing to cheat to rise to glory, **we reserve the right to wield the following anti-cheating measures:**

- Ask to spot-check your code at any point in the competition. Failure to provide proof of algorithm within a reasonable time frame may result in disqualification.

- Release a new test set towards the end of the competition and require predictions for this new set.

- After the competition, require access to your model to verify that the solution does not utilize human intervention.

**In short, if you cheat by hand labeling your predictions, expect to do it all over again, possibly many times.**  Thanks in advance for the fair competition and have fun.