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102 classes
45wallflower
73rose
51wild pansy
88watercress
80frangipani
6moon orchid
52primula
55bishop of llandaff
74thorn apple
12king protea
93foxglove
75morning glory
35ruby-lipped cattleya
42sword lily
59pink-yellow dahlia?
83columbine
20fire lily
76passion flower
60cautleya spicata
44bolero deep blue
72water lily
57geranium
49common dandelion
51wild pansy
10snapdragon
27stemless gentian
73rose
35ruby-lipped cattleya
73rose
77lotus
80frangipani
94bougainvillea
52primula
69tree poppy
0pink primrose
10snapdragon
5tiger lily
28artichoke
50petunia
34alpine sea holly
11colt's foot
62black-eyed susan
80frangipani
80frangipani
47buttercup
31garden phlox
36cape flower
64californian poppy
94bougainvillea
76passion flower
50petunia
75morning glory
77lotus
12king protea
93foxglove
70gazania
41daffodil
32love in the mist
57geranium
76passion flower
47buttercup
56gaura
23red ginger
39lenten rose
79anthurium
66spring crocus
72water lily
63silverbush
88watercress
75morning glory
56gaura
59pink-yellow dahlia?
54pelargonium
100trumpet creeper
71azalea
41daffodil
24grape hyacinth
76passion flower
0pink primrose
21pincushion flower
46marigold
59pink-yellow dahlia?
40barbeton daisy
46marigold
15globe-flower
40barbeton daisy
17peruvian lily
28artichoke
73rose
80frangipani
15globe-flower
16purple coneflower
77lotus
39lenten rose
96mallow
94bougainvillea
42sword lily
94bougainvillea
35ruby-lipped cattleya
57geranium
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YAML Metadata Warning: The task_ids "image-classification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

Oxford 102 Flowers (Custom Split)

This dataset re-packages the Oxford 102 Flowers dataset with a custom train/validation/test split produced by src.data.upload_flowers102.

Split Ratios

  • Train: 80.00%
  • Validation: 10.00%
  • Test: 10.00%

Source

Original images and annotations come from the Oxford 102 Flowers dataset, as distributed on the Hugging Face Hub under pytorch/oxford-flowers.

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