# ELIVA25-IndustrialVision — Data

来源：https://www.kaggle.com/competitions/eliva-25-industrial-vision/data

采集时间：2026-10-19T21:49:24Z

The dataset is divided into train and test folders. 
- the train folder contains a limited set of images that you shall use to optimize your solution based on the ground truth of the bounding boxes reported in the  annotations.csv file.
- the test folder contains the images that must be processed to compete in the challenge.

A [sample python script](https://www.kaggle.com/code/marcograngetto/gear-detection-sample-code) to loop on the training set and create a random solution is provided. 