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"
More Information needed
image-classification-test-sampleautotrain-data-image-classification
AutoTrain Dataset for project: image-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project image-classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<79x80 RGBA PIL image>",
"target": 1
},
{
"image": "<547x108 RGBA PIL image>",
"target": 1
}]… See the full description on the dataset page: https://huggingface.co/datasets/fsuarez/autotrain-data-image-classification.birds-525-species-image-classificationOriginal dataset is https://www.kaggle.com/datasets/gpiosenka/100-bird-species
ImageClassificationStableDiffusion_small