Andron00e/CLIPForImageClassification-v1
Image Classification
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imagewidth (px) 32
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cifar10_images/train_image_0.jpg | 6 |
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cifar10_images/train_image_1.jpg | 9 |
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cifar10_images/train_image_2.jpg | 9 |
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cifar10_images/train_image_3.jpg | 4 |
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cifar10_images/train_image_4.jpg | 1 |
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cifar10_images/train_image_5.jpg | 1 |
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cifar10_images/train_image_6.jpg | 2 |
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cifar10_images/train_image_7.jpg | 7 |
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cifar10_images/train_image_8.jpg | 8 |
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cifar10_images/train_image_9.jpg | 3 |
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cifar10_images/train_image_10.jpg | 4 |
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cifar10_images/train_image_11.jpg | 7 |
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cifar10_images/train_image_12.jpg | 7 |
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cifar10_images/train_image_13.jpg | 2 |
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cifar10_images/train_image_14.jpg | 9 |
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cifar10_images/train_image_15.jpg | 9 |
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cifar10_images/train_image_16.jpg | 9 |
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cifar10_images/train_image_17.jpg | 3 |
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cifar10_images/train_image_18.jpg | 2 |
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cifar10_images/train_image_19.jpg | 6 |
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cifar10_images/train_image_20.jpg | 4 |
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cifar10_images/train_image_21.jpg | 3 |
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cifar10_images/train_image_22.jpg | 6 |
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cifar10_images/train_image_23.jpg | 6 |
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cifar10_images/train_image_24.jpg | 2 |
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cifar10_images/train_image_25.jpg | 6 |
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cifar10_images/train_image_26.jpg | 3 |
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cifar10_images/train_image_27.jpg | 5 |
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cifar10_images/train_image_28.jpg | 4 |
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cifar10_images/train_image_29.jpg | 0 |
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cifar10_images/train_image_30.jpg | 0 |
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cifar10_images/train_image_31.jpg | 9 |
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cifar10_images/train_image_32.jpg | 1 |
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cifar10_images/train_image_33.jpg | 3 |
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cifar10_images/train_image_34.jpg | 4 |
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cifar10_images/train_image_35.jpg | 0 |
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cifar10_images/train_image_36.jpg | 3 |
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cifar10_images/train_image_37.jpg | 7 |
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cifar10_images/train_image_38.jpg | 3 |
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cifar10_images/train_image_39.jpg | 3 |
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cifar10_images/train_image_40.jpg | 5 |
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cifar10_images/train_image_41.jpg | 2 |
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cifar10_images/train_image_42.jpg | 2 |
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cifar10_images/train_image_43.jpg | 7 |
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cifar10_images/train_image_44.jpg | 1 |
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cifar10_images/train_image_45.jpg | 1 |
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cifar10_images/train_image_46.jpg | 1 |
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cifar10_images/train_image_47.jpg | 2 |
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cifar10_images/train_image_48.jpg | 2 |
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cifar10_images/train_image_49.jpg | 0 |
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cifar10_images/train_image_50.jpg | 9 |
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cifar10_images/train_image_51.jpg | 5 |
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cifar10_images/train_image_52.jpg | 7 |
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cifar10_images/train_image_53.jpg | 9 |
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cifar10_images/train_image_54.jpg | 2 |
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cifar10_images/train_image_55.jpg | 2 |
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cifar10_images/train_image_56.jpg | 5 |
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cifar10_images/train_image_57.jpg | 2 |
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cifar10_images/train_image_58.jpg | 4 |
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cifar10_images/train_image_59.jpg | 3 |
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cifar10_images/train_image_60.jpg | 1 |
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cifar10_images/train_image_61.jpg | 1 |
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cifar10_images/train_image_62.jpg | 8 |
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cifar10_images/train_image_63.jpg | 2 |
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cifar10_images/train_image_64.jpg | 1 |
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cifar10_images/train_image_65.jpg | 1 |
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cifar10_images/train_image_66.jpg | 4 |
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cifar10_images/train_image_67.jpg | 9 |
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cifar10_images/train_image_68.jpg | 7 |
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cifar10_images/train_image_69.jpg | 8 |
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cifar10_images/train_image_70.jpg | 5 |
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cifar10_images/train_image_71.jpg | 9 |
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cifar10_images/train_image_72.jpg | 6 |
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cifar10_images/train_image_73.jpg | 7 |
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cifar10_images/train_image_74.jpg | 3 |
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cifar10_images/train_image_75.jpg | 1 |
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cifar10_images/train_image_76.jpg | 9 |
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cifar10_images/train_image_77.jpg | 0 |
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cifar10_images/train_image_78.jpg | 3 |
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cifar10_images/train_image_79.jpg | 1 |
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cifar10_images/train_image_80.jpg | 3 |
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cifar10_images/train_image_81.jpg | 5 |
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cifar10_images/train_image_82.jpg | 4 |
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cifar10_images/train_image_83.jpg | 5 |
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cifar10_images/train_image_84.jpg | 7 |
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cifar10_images/train_image_85.jpg | 7 |
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cifar10_images/train_image_86.jpg | 4 |
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cifar10_images/train_image_87.jpg | 7 |
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cifar10_images/train_image_88.jpg | 9 |
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cifar10_images/train_image_89.jpg | 4 |
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cifar10_images/train_image_90.jpg | 2 |
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cifar10_images/train_image_91.jpg | 3 |
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cifar10_images/train_image_92.jpg | 8 |
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cifar10_images/train_image_93.jpg | 0 |
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cifar10_images/train_image_94.jpg | 1 |
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cifar10_images/train_image_95.jpg | 6 |
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cifar10_images/train_image_96.jpg | 1 |
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cifar10_images/train_image_97.jpg | 1 |
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cifar10_images/train_image_98.jpg | 4 |
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cifar10_images/train_image_99.jpg | 1 |
Example of usage:
from datasets import load_dataset
dataset = load_dataset("Andron00e/CIFAR10-custom")
splitted_dataset = dataset["train"].train_test_split(test_size=0.2)