Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
extended
Tags:
License:
image_file_path
stringlengths
159
181
image
imagewidth (px)
500
500
labels
class label
3 classes
embedding_foundation
sequencelengths
768
768
embedding_ft
sequencelengths
768
768
outlier_score_ft
float64
0.62
0.98
outlier_score_foundation
float64
0.53
0.9
nn_image
imagewidth (px)
500
500
/home/markus/.cache/huggingface/datasets/downloads/extracted/c62fac14efe689481a4c60c34bbd2945b214f1080aba7d9dfa2651a387dac1ac/train/angular_leaf_spot/angular_leaf_spot_train.0.jpg
0angular_leaf_spot
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Dataset Card for "beans-outlier"

📚 This dataset is an enhancved version of the ibean project of the AIR lab.

The workflow is described in the medium article: Changes of Embeddings during Fine-Tuning of Transformers.

Explore the Dataset

The open source data curation tool Renumics Spotlight allows you to explorer this dataset. You can find a Hugging Face Space running Spotlight with this dataset here: https://huggingface.co/spaces/renumics/beans-outlier Analyze with Spotlight

Or you can explorer it locally:

!pip install renumics-spotlight datasets
from renumics import spotlight
import datasets

ds = datasets.load_dataset("renumics/beansoutlier", split="train")
df = ds.to_pandas()
df["label_str"] = df["labels"].apply(lambda x: ds.features["labels"].int2str(x))
dtypes = {
    "nn_image": spotlight.Image,
    "image": spotlight.Image,
    "embedding_ft": spotlight.Embedding,
    "embedding_foundation": spotlight.Embedding,
}
spotlight.show(
    df,
    dtype=dtypes,
    layout="https://spotlight.renumics.com/resources/layout_pre_post_ft.json",
)
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