# D4-Computer Vision — Data

来源：https://www.kaggle.com/competitions/d-4-computer-vision/data

采集时间：2026-10-19T06:28:01Z

Plant disease detection via computer vision could be a very important to protecting the agriculture industry. This dataset contains 4235 images of healthy and/or diseased leaves. Within this dataset, there are 10 different plant species with a variety of leaf shapes and degrees of disease progression. There are 3 csv files: train, test, and sample_submission. The train file has one column being the image (with the image_id) and the other being the label (0: healthy and 1: for diseased), the test file only having the image column (no answers).

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `Images` - JPG image id
*   `Labels` - 0: healthy and 1: diseased

## Data Source
Dataset modified from the "Healthy vs. Diseased Leaf Image Dataset" (License CC0: Public domain) on Kaggle at https://www.kaggle.com/datasets/amandam1/healthy-vs-diseased-leaf-image-dataset