Update dataset/README.md
Browse files- dataset/README.md +39 -42
dataset/README.md
CHANGED
@@ -1,42 +1,39 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
```
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
This will extract the dataset into the `./dataset` directory.
|
42 |
-
```
|
|
|
1 |
+
# Landscape Pictures Dataset Processing
|
2 |
+
|
3 |
+
This README provides instructions for downloading, extracting, and processing the landscape pictures dataset from Kaggle.
|
4 |
+
|
5 |
+
## Dataset Source
|
6 |
+
|
7 |
+
The dataset is sourced from Kaggle: Landscape Pictures by Arnaud58 [](https://www.kaggle.com/datasets/arnaud58/landscape-pictures)
|
8 |
+
. Follow this link: [Kaggle Dataset](https://www.kaggle.com/datasets/arnaud58/landscape-pictures)
|
9 |
+
|
10 |
+
## Setup
|
11 |
+
|
12 |
+
1. **Create a Dataset Directory**: Create a directory to store the dataset:
|
13 |
+
|
14 |
+
```python
|
15 |
+
import os
|
16 |
+
|
17 |
+
ds_path = "./dataset/landscape-pictures"
|
18 |
+
os.makedirs(ds_path, exist_ok=True)
|
19 |
+
```
|
20 |
+
|
21 |
+
2. **Download the Dataset**: Use the following command to download the dataset from Kaggle:
|
22 |
+
|
23 |
+
```bash
|
24 |
+
curl -L https://www.kaggle.com/api/v1/datasets/download/arnaud58/landscape-pictures -o ./dataset/landscape-pictures.zip
|
25 |
+
```
|
26 |
+
|
27 |
+
Note: You may need a Kaggle API token for authentication. Ensure you have the `kaggle.json` file configured in `~/.kaggle/` or set up the Kaggle API as per Kaggle's API documentation.
|
28 |
+
|
29 |
+
3. **Extract the Dataset**: Run the following Python code to extract the downloaded zip file:
|
30 |
+
|
31 |
+
```python
|
32 |
+
import zipfile
|
33 |
+
import os
|
34 |
+
|
35 |
+
with zipfile.ZipFile('dataset/landscape-pictures.zip', 'r') as zip_ref:
|
36 |
+
zip_ref.extractall(ds_path)
|
37 |
+
```
|
38 |
+
|
39 |
+
This will extract the dataset into the `./dataset` directory.
|
|
|
|
|
|