README.md

metadata

size_categories:
  - n<1K
task_categories:
  - image-classification
  - image-segmentation
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': antelope
            '1': badger
            '2': bat
            '3': bear
            '4': bee
            '5': beetle
            '6': bison
            '7': boar
            '8': butterfly
            '9': cat
            '10': caterpillar
            '11': chimpanzee
            '12': cockroach
            '13': cow
            '14': coyote
            '15': crab
            '16': crow
            '17': deer
            '18': dog
            '19': dolphin
            '20': donkey
            '21': dragonfly
            '22': duck
            '23': eagle
            '24': elephant
            '25': flamingo
            '26': fly
            '27': fox
            '28': goat
            '29': goldfish
            '30': goose
            '31': gorilla
            '32': grasshopper
            '33': hamster
            '34': hare
            '35': hedgehog
            '36': hippopotamus
            '37': hornbill
            '38': horse
            '39': hummingbird
            '40': hyena
            '41': jellyfish
            '42': kangaroo
            '43': koala
            '44': ladybugs
            '45': leopard
            '46': lion
            '47': lizard
            '48': lobster
            '49': mosquito
            '50': moth
            '51': mouse
            '52': octopus
            '53': okapi
            '54': orangutan
            '55': otter
            '56': owl
            '57': ox
            '58': oyster
            '59': panda
            '60': parrot
            '61': pelecaniformes
            '62': penguin
            '63': pig
            '64': pigeon
            '65': porcupine
            '66': possum
            '67': raccoon
            '68': rat
            '69': reindeer
            '70': rhinoceros
            '71': sandpiper
            '72': seahorse
            '73': seal
            '74': shark
            '75': sheep
            '76': snake
            '77': sparrow
            '78': squid
            '79': squirrel
            '80': starfish
            '81': swan
            '82': tiger
            '83': turkey
            '84': turtle
            '85': whale
            '86': wolf
            '87': wombat
            '88': woodpecker
            '89': zebra
  splits:
    - name: train
      num_bytes: 520059675.84
      num_examples: 4320
    - name: test
      num_bytes: 138887701.08
      num_examples: 1080
  download_size: 696270301
  dataset_size: 658947376.92
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
tags:
  - animals

Dataset Card for Dataset Name

This dataset is a port of the "Animal Image Dataset" that you can find on Kaggle. The dataset contains 60 pictures for 90 types of animals, with various image sizes.

With respect to the original dataset, I created the train-test-split partitions (80%/20%) to make it compatible via HuggingFace datasets.

Note. At the time of writing, by looking at the Croissant ML Metadata, the original license of the data is sc:CreativeWork. If you believe this dataset violates any license, please open an issue in the discussion tab, so I can take action as soon as possible.

How to use this data

from datasets import load_dataset

# for exploration
ds = load_dataset("lucabaggi/animal-wildlife", split="train")

# for training
ds = load_dataset("lucabaggi/animal-wildlife")

How the data was generated

You can find the script here