# ExML-Prelims-Task-1 — Data

来源：https://www.kaggle.com/competitions/exml-prelims-task-1/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The training data contains 2500 images per class ```(Dorsal and Palmer)```. The images are of size ```(1600px x 1200px)``` and in png format.


```
Dorsal - 0
```
<br>
```
Palmar - 1
```

##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.
<br>
<br>
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.