Datasets:
Tasks:
Feature Extraction
Modalities:
Image
Formats:
imagefolder
Size:
10K - 100K
Tags:
climate
License:
File size: 780 Bytes
41f0921 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
import os
def count_images_in_folders(base_path):
"""Counts the number of images in each class subdirectory under test, train, and val."""
subsets = ['test', 'train', 'val']
for subset in subsets:
subset_path = os.path.join(base_path, subset)
if not os.path.exists(subset_path):
continue
for class_name in os.listdir(subset_path):
class_path = os.path.join(subset_path, class_name)
if os.path.isdir(class_path):
image_count = len([f for f in os.listdir(class_path) if f.endswith('.jpg')])
print(f"Folder {subset}/{class_name} has {image_count} images")
# Define base path
base_directory = "classify"
# Run the function
count_images_in_folders(base_directory)
|