# ExML-Prelims-Task-2 — Data

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

采集时间：2026-10-19T22:34:02Z

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

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

#A note on hand labeling
Per the rules and spirit of this contest, please do not manually label your submissions.
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.