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Flower-recognition-Deep-Learning

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

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