For several years, flower recognition in the wildlife has been an area of great interest among biologists. Recognition of flower in environments such as forests and mountains is necessary to know whether they are extinct or not. While search engines assist in searching for a flower, it lacks robustness because of the intra-class variation among millions of flower species. The application of deep learning is rapidly growing in the field of computer vision and is helping in building powerful classification and identification models. We can leverage this power of deep learning to build models that can classify and differentiate between different species of flower as well We are given a large class of flowers, 102 to be precise. Build a flower classification model which is discriminative between classes but can correctly classify all flower images belonging to the same class. There are a total of 20549 (train + test) images of flowers. Predict the category of the flowers present in the test folder with good accuracy. The data folder consists of 2 folders and 3 CSV files train - Contains 18540 images from 102 categories of flowers test - Contains 2009 images train.csv - Contains 2 columns and 18541 rows (including the headers), which consists of image id and the true label for each of the images in the train folder test.csv - Contains the image id for the images present in test folder for which the true label needs to be predicted sample_submission.csv - Specifies the format for the submission file
LINK OF DATASET : https://he-public-data.s3-ap-southeast-1.amazonaws.com/HE_Challenge_data.zip
Data Description:
The image dataset is to be categorized into 102 classes. The names of the categories are as follows in no particular order.
Alpine sea holly
Anthurium
Artichoke
Azalea
Ball Moss
Balloon Flower
Barbeton Daisy
Bearded Iris
Bee Balm
Bird of paradise
Bishop of llandaff
Blackberry Lily
Black-eyed Susan
Blanket flower
Bolero deep blue
Bougainvillea
Bromelia
Buttercup
Californian Poppy
Camellia
Canna Lily
Canterbury Bells
Cape Flower
Carnation
Cautleya Spicata
Clematis
Colt's Foot
Columbine
Common Dandelion
Corn poppy
Cyclamen
Daffodil
Desert-rose
English Marigold
Fire Lily
Foxglove
Frangipani
Fritillary
Garden Phlox
Gaura
Gazania
Geranium
Giant white arum lily
Globe Thistle
Globe-flower
Grape Hyacinth
Great Masterwort
Hard-leaved pocket orchid
Hibiscus
Hippeastrum
Japanese Anemone
King Protea
Lenten Rose
Lotus
Love in the mist
Magnolia
Mallow
Marigold
Mexican Aster
Mexican Petunia
Monkshood
Moon Orchid
Morning Glory
Orange Dahlia
Osteospermum
Oxeye Daisy
Passion Flower
Pelargonium
Peruvian Lily
Petunia
Pincushion flower
Pink Primrose
Pink-yellow Dahlia
Poinsettia
Primula
Prince of wales feathers
Purple Coneflower
Red Ginger
Rose
Ruby-lipped Cattleya
Siam Tulip
Silverbush
Snapdragon
Spear Thistle
Spring Crocus
Stemless Gentian
Sunflower
Sweet pea
Sweet William
Sword Lily
Thorn Apple
Tiger Lily
Toad Lily
Tree Mallow
Tree Poppy
Trumpet Creeper
Wallflower
Water Lily
Watercress
Wild Pansy
Windflower
Yellow Iris