ANIMAL (ANIMAL10N) Dataset
Load ANIMAL10N with one line of code. ANIMAL10N has 10 classes of animals for classification. Stream ANIMAL10N while training models in PyTorch & TensorFlow.
ANIMAL10N dataset
What is ANIMAL10N Dataset?
ANIMAL10N dataset contains ten classes of animals with a total of 50,000 training and testing pictures. The following animals are included in the dataset: lynx, guinea pig, jaguar, cat, hamster, cheetah, coyote, chimpanzee, wolf, and orangutan. Noisy labels were introduced spontaneously by a human error. The estimated noise rate is 8%.
Download ANIMAL10N Dataset in Python
Instead of downloading the ANIMAL10N dataset in Python, you can effortlessly load it in Python via our open-source package Hub with just one line of code.
Load ANIMAL10N Dataset Training Subset in Python
1
import hub
2
ds = hub.load("hub://activeloop/animal10-train")
Copied!
Load ANIMAL10N Dataset Testing Subset in Python
1
import hub
2
ds = hub.load("hub://activeloop/animal10-test")
Copied!
ANIMAL10N Dataset Structure
ANIMAL10N Data Fields
- images: tensor containing the image.
- labels: tensor to represent the category of animal in the image.
ANIMAL10N Data Splits
How to use Animal10n Dataset with PyTorch and TensorFlow in Python
Train a model on ANIMAL10N dataset with PyTorch in Python
1
dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
Copied!
Train a model on Animal10n dataset with TensorFlow in Python
1
dataloader = ds.tensorflow()
Copied!
Additional Information about ANIMAL10N Dataset
ANIMAL10N Dataset Description
- Homepage: https://dm.kaist.ac.kr/datasets/animal-10n/
- Repository: N/A
- Paper: Introduced by Song, Hwanjun and Kim, Minseok and Lee, Jae-Gil. in {SELFIE}: Refurbishing Unclean Samples for Robust Deep Learning
- Point of Contact: N/A
Animal10n Dataset Curators
Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil.
ANIMAL10N Dataset Licensing Information
Hub users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license.
If you're a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!
ANIMAL10N Dataset Citation Information
1
@inproceedings{song2019selfie,
2
title={{SELFIE}: Refurbishing Unclean Samples for Robust Deep Learning},
3
author={Song, Hwanjun and Kim, Minseok and Lee, Jae-Gil},
4
booktitle={ICML},
5
year={2019} }
Copied!
ANIMAL10N Dataset FAQs
What classes does ANIMAL10N dataset contain?
- lynx
- guinea pig
- jaguar
- cat
- hamster
- cheetah
- coyote
- chimpanzee
- wolf
- orangutan
What is the ANIMAL10N dataset for Python?
There are ten classes with a total of 50, 000 training and testing pictures. Please note that in ANIMAL10N, noisy labels were introduced spontaneously by human error, with an estimated noise rate of 8%.
How to download the ANIMAL10N dataset in Python?
You can load ANIMAL10N dataset fast with one line of code using the open-source package Activeloop Hub in Python. See detailed instructions on how to load ANIMAL10N dataset training subset and Animal10N testing subset in Python.
How can I use ANIMAL10N dataset in PyTorch or TensorFlow?
You can stream the ANIMAL10N dataset while training a model in PyTorch or TensorFlow with one line of code using the open-source package Activeloop Hub in Python. See detailed instructions on how to train a model on ANIMAL10N dataset with PyTorch in Python or train a model on ANIMAL10N dataset with TensorFlow in Python.
Last modified 27d ago
Copy link
Contents
ANIMAL10N dataset
What is ANIMAL10N Dataset?
Download ANIMAL10N Dataset in Python
Load ANIMAL10N Dataset Training Subset in Python
Load ANIMAL10N Dataset Testing Subset in Python
ANIMAL10N Dataset Structure
How to use Animal10n Dataset with PyTorch and TensorFlow in Python
Additional Information about ANIMAL10N Dataset
ANIMAL10N Dataset Description
ANIMAL10N Dataset FAQs