metadata
license: gpl-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Butterfly
'1': Cat
'2': Chicken
'3': Cow
'4': Dog
'5': Elephant
'6': Horse
'7': Sheep
'8': Spider
'9': Squirrel
splits:
- name: train
num_bytes: 300304734.49
num_examples: 23554
download_size: 318523927
dataset_size: 300304734.49
Rapidata Animals-10
We took this existing Animals-10 dataset from kaggle and cleaned it using Rapidata's crowd, as detailed in this blog post.
If you get value from this dataset and would like to see more in the future, please consider liking it.
Dataset Details
10 classes: Butterfly, Cat, Chicken, Cow, Dog, Elephant, Horse, Sheep Spider, Squirrel 23554 Images
In total, 124k labels were collected by human annotators, so each image is cross-validated on average by 5 independent annotators.
- Curated by: @canwiper
- Funded by: Rapidata
- License: gpl-2.0
Dataset Sources
Blog post describing the setup and results of cleaning the original dataset.
Dataset Structure
Structured by folders named after each of the 10 different animals.
Source Data
https://www.kaggle.com/datasets/alessiocorrado99/animals10