| 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: 468274895 | |
| num_examples: 3780 | |
| - name: test | |
| num_bytes: 196855527.2 | |
| num_examples: 1620 | |
| download_size: 696316023 | |
| dataset_size: 665130422.2 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| task_categories: | |
| - image-classification | |
| - image-segmentation | |
| tags: | |
| - animals | |
| size_categories: | |
| - n<1K | |
| # Dataset Card for Dataset Name | |
| This dataset is a port of the ["Animal Image Dataset"](https://www.kaggle.com/datasets/iamsouravbanerjee/animal-image-dataset-90-different-animals) 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 | |
| ```python | |
| 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](./extract.py) |