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.
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: blog post
Dataset Structure
Structured by folders named after each of the 10 different animals.
Source Data
https://www.kaggle.com/datasets/alessiocorrado99/animals10