louiecerv/cats_dogs_dataset
Cats and Dogs Image Classification Dataset This dataset contains images of cats and dogs, intended for image classification tasks. It includes two classes: "cats" and "dogs". Dataset Structure The dataset is structured into two splits: train: Contains 8000 images for training. test: Contains 2000 images for testing. Images are stored in RGB format with a resolution of 128x128 pixels. Data Loading and Usage The dataset can be loaded using the… See the full description on the dataset page: https://huggingface.co/datasets/louiecerv/cats_dogs_dataset.
Cats and Dogs Image Classification Dataset
This dataset contains images of cats and dogs, intended for image classification tasks. It includes two classes: "cats" and "dogs".
Dataset Structure
The dataset is structured into two splits:
- train: Contains 8000 images for training.
- test: Contains 2000 images for testing.
Images are stored in RGB format with a resolution of 128x128 pixels.
Data Loading and Usage
The dataset can be loaded using the Hugging Face Datasets library:
from datasets import load_dataset
dataset = load_dataset("cats_dogs_dataset")
This will return a DatasetDict object with the train and test splits.
Example Usage
Python
from datasets import load_dataset
dataset = load_dataset("cats_dogs_dataset")
# Access the first training example
example = dataset["train"]
# Print the image and label
print(example["image"])
print(example["label"])