Expanding the Dataset

[kwade4]

Adding more data to each category.

• [x] alpine sea holly
• [x] anthurium
• [x] artichoke
• [x] azalea
• [x] balloon flower
• [x] barbeton daisy
• [x] bearded iris
• [x] bee balm
• [x] bird of paradise
• [x] blackberry lily
• [x] black-eyed susan
• [x] blanket flower
• [x] bougainvillea
• [x] bromelia
• [x] buttercup
• [x] californian poppy
• [x] camellia
• [x] canna lily
• [x] canterbury bells
• [x] cape flower
• [x] carnation
• [x] cautleya spicata
• [x] clematis
• [x] colt's foot
• [x] columbine
• [x] common dandelion
• [x] corn poppy
• [x] cyclamen
• [ ] daffodil
• [ ] dahlia pinnata
• [ ] desert rose
• [ ] english marigold
• [ ] fire lily
• [ ] foxglove
• [ ] frangipani
• [ ] fritillary
• [ ] garden cosmos
• [ ] garden phlox
• [ ] gaura
• [ ] gazania
• [ ] geranium
• [ ] giant white arum lily
• [ ] globe-flower
• [ ] globe thistle
• [ ] grape hyacinth
• [ ] great masterwort
• [ ] hard-leaved pocket orchid
• [ ] hibiscus
• [ ] hippeastrum
• [ ] japanese anemone
• [ ] king protea
• [ ] lenten rose
• [ ] lotus
• [ ] love-in-a-mist
• [ ] magnolia
• [ ] mallow
• [ ] marigold
• [ ] mexican petunia
• [ ] monkshood
• [ ] moon orchid
• [ ] morning glory
• [ ] orange dahlia
• [ ] osteospermum
• [ ] oxeye daisy
• [ ] pansy
• [ ] passion flower
• [ ] pelargonium
• [ ] peruvian lily
• [ ] petunia
• [ ] pincushion flower
• [ ] pink primrose
• [x] pink quill
• [ ] poinsettia
• [ ] primula
• [ ] prince of wales feathers
• [ ] purple coneflower
• [ ] red dahlia
• [ ] red ginger
• [ ] rose
• [ ] ruby-lipped cattleya
• [ ] siam tulip
• [ ] silverbush
• [ ] snapdragon
• [ ] spear thistle
• [ ] spring crocus
• [ ] stemless gentian
• [ ] sunflower
• [x] sweet pea
• [ ] sweet william
• [ ] sword lily
• [x] Texas bluebell
• [ ] thorn apple
• [ ] tiger lily
• [ ] toad lily
• [ ] tree mallow
• [ ] tree poppy
• [ ] trumpet creeper
• [ ] wallflower
• [ ] watercress
• [ ] water lily
• [ ] windflower
• [x] yellow iris

[kwade4]

Given that some images have watermarks (#5 ), it is probably a good idea to expand the dataset and remove images with watermarks.

[kwade4]

• Add more categories of flower, specific to North America
• Add more examples for each category

[kwade4]

Should also search for species by scientific name.