SC4001
Collection
NTU SC4001 Deep Learning
•
15 items
•
Updated
Datasets:
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image
imagewidth (px) 500
1.02k
| label
class label 102
classes |
|---|---|
45wallflower
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73rose
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51wild pansy
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88watercress
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80frangipani
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6moon orchid
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52primula
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55bishop of llandaff
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74thorn apple
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12king protea
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93foxglove
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75morning glory
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35ruby-lipped cattleya
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42sword lily
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59pink-yellow dahlia?
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83columbine
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20fire lily
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76passion flower
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60cautleya spicata
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44bolero deep blue
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72water lily
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57geranium
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49common dandelion
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51wild pansy
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10snapdragon
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27stemless gentian
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73rose
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35ruby-lipped cattleya
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73rose
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77lotus
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80frangipani
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94bougainvillea
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52primula
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69tree poppy
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0pink primrose
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10snapdragon
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5tiger lily
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28artichoke
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50petunia
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34alpine sea holly
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11colt's foot
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62black-eyed susan
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80frangipani
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80frangipani
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47buttercup
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31garden phlox
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36cape flower
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64californian poppy
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94bougainvillea
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76passion flower
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50petunia
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75morning glory
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77lotus
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12king protea
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93foxglove
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70gazania
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41daffodil
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32love in the mist
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57geranium
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76passion flower
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47buttercup
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56gaura
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23red ginger
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39lenten rose
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79anthurium
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66spring crocus
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72water lily
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63silverbush
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88watercress
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75morning glory
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56gaura
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59pink-yellow dahlia?
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54pelargonium
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100trumpet creeper
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71azalea
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41daffodil
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24grape hyacinth
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76passion flower
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0pink primrose
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21pincushion flower
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46marigold
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59pink-yellow dahlia?
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40barbeton daisy
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46marigold
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15globe-flower
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40barbeton daisy
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17peruvian lily
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28artichoke
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73rose
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80frangipani
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15globe-flower
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16purple coneflower
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77lotus
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39lenten rose
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96mallow
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94bougainvillea
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42sword lily
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94bougainvillea
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35ruby-lipped cattleya
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57geranium
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End of preview. Expand
in Data Studio
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.
- Downloads last month
- 117
Size of downloaded dataset files:
347 MB
Size of the auto-converted Parquet files:
347 MB
Number of rows:
8,189