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Data · dataset · 2022

nateraw/auto-cats-and-dogs

Listed in Hugging Face Datasets

Description

nateraw/auto-cats-and-dogs Image Classification Dataset Usage from PIL import Image from datasets import load_dataset def pil_loader(path: str): with open(path, 'rb') as f: im = Image.open(f) return im.convert('RGB') def image_loader(example_batch): example_batch['image'] = [ pil_loader(f) for f in example_batch['file'] ] return example_batch ds = load_dataset('nateraw/auto-cats-and-dogs') ds = ds.with_transform(image_loader)

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Catalogue records · 1

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Image 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsnateraw/auto-cats-and-dogs10 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:othersource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0