Datasets:
Tasks:
Image Classification
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K - 10K
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 |
|---|---|---|---|---|---|---|---|
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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
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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