image CLassification
intel-image-classification
Intel Image Classification
The Intel Image Classification dataset contains images of natural scenes categorized into six classes:
Buildings
Forest
Glacier
Mountain
Sea
Street
📆 Content
The dataset contains ~25,000 images of size 150x150 pixels.
Images are evenly distributed across 6 categories:
{'buildings' -> 0,
'forest' -> 1,
'glacier' -> 2,
'mountain' -> 3,
'sea' -> 4,
'street' -> 5 }
It is divided into three parts:
Training set: ~14… See the full description on the dataset page: https://huggingface.co/datasets/sfarrukhm/intel-image-classification.DocILE_10_5_ImageClassification_donut
Dataset Card for "DocILE_10_5_ImageClassification_donut"
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ImageClassificationStableDiffusion_smallrecursion-cellular-image-classification-datasetimage-classification-test-sampleAnimal_Image_Classification_DatasetDataset Summary:
The Animal Image Classification Dataset is a comprehensive collection of images tailored for the development and evaluation of machine learning models in the field of computer vision. It contains 3,000 JPG images, carefully segmented into three classes representing common pets and wildlife: cats, dogs, and snakes.
Dataset Contents:
cats/: A set of 1,000 JPG images of cats, showcasing a wide array of breeds, environments, and postures.
dogs/: A diverse compilation of 1,000 dog… See the full description on the dataset page: https://huggingface.co/datasets/AlvaroVasquezAI/Animal_Image_Classification_Dataset.