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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"/home/markus/.cache/huggingface/datasets/downloads/extracted/c62fac14efe689481a4c60c34bbd2945b214f1(...TRUNCATED) | 0angular_leaf_spot
| [0.06346249580383301,-0.21041090786457062,0.3117038905620575,0.09505804628133774,0.2341330200433731,(...TRUNCATED) | [-0.2407626509666443,-0.026942521333694458,0.17229104042053223,0.0015788200544193387,-0.102146543562(...TRUNCATED) | 0.782534 | 0.803517 | ||
"/home/markus/.cache/huggingface/datasets/downloads/extracted/c62fac14efe689481a4c60c34bbd2945b214f1(...TRUNCATED) | 0angular_leaf_spot
| [0.06696534156799316,0.2873854339122772,-0.22581477463245392,-0.08798261731863022,0.0789176523685455(...TRUNCATED) | [-0.09657853096723557,-0.20453813672065735,0.1995716094970703,0.10781627148389816,0.1398741304874420(...TRUNCATED) | 0.94083 | 0.716979 | ||
"/home/markus/.cache/huggingface/datasets/downloads/extracted/c62fac14efe689481a4c60c34bbd2945b214f1(...TRUNCATED) | 0angular_leaf_spot
| [-0.30762696266174316,-0.09144501388072968,0.39482733607292175,0.025060128420591354,0.10347432643175(...TRUNCATED) | [-0.10433703660964966,-0.23479755222797394,0.3340457081794739,0.07533759623765945,0.1660767644643783(...TRUNCATED) | 0.957011 | 0.866885 | ||
"/home/markus/.cache/huggingface/datasets/downloads/extracted/c62fac14efe689481a4c60c34bbd2945b214f1(...TRUNCATED) | 0angular_leaf_spot
| [-0.19467130303382874,0.2664984464645386,0.4920552670955658,-0.08869672566652298,-0.0389392673969268(...TRUNCATED) | [-0.23218655586242676,-0.19505946338176727,0.3507063686847687,0.006890733726322651,0.173988431692123(...TRUNCATED) | 0.959913 | 0.802424 |
End of preview. Expand
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Dataset Card for "beans-outlier"
๐ 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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Size of downloaded dataset files:
231 MB
Size of the auto-converted Parquet files:
231 MB
Number of rows:
1,034