/Vertebrate-Detection

Machine Learning model, predicts vertebrates like mammals, birds, amphibians and fishes. Using Tensorflow and EfficientNetB0.

Primary LanguageJupyter Notebook

Vertebrate-Detection

Live link for the web - Vertebrate Detector

Vertebrate : An animal of a large group distinguished by the possession of a backbone or spinal column, including mammals, birds, reptiles, amphibians, and fishes.

Vertebrates available : 'Bear', 'Brown bear', 'Bull', 'Butterfly', 'Camel', 'Canary', 'Caterpillar', 'Cattle', 'Centipede', 'Cheetah', 'Chicken', 'Crab', 'Crocodile', 'Deer', 'Duck', 'Eagle', 'Elephant', 'Fish', 'Fox', 'Frog', 'Giraffe', 'Goat', 'Goldfish', 'Goose', 'Hamster', 'Harbor seal', 'Hedgehog', 'Hippopotamus', 'Horse', 'Jaguar', 'Jellyfish', 'Kangaroo', 'Koala', 'Ladybug', 'Leopard', 'Lion', 'Lizard', 'Lynx', 'Magpie', 'Monkey', 'Moths and butterflies', 'Mouse', 'Mule', 'Ostrich', 'Otter', 'Owl', 'Panda', 'Parrot', 'Penguin', 'Pig', 'Polar bear', 'Rabbit', 'Raccoon', 'Raven', 'Red panda', 'Rhinoceros', 'Scorpion', 'Sea lion', 'Sea turtle', 'Seahorse', 'Shark', 'Sheep', 'Shrimp', 'Snail', 'Snake', 'Sparrow', 'Spider', 'Squid', 'Squirrel', 'Starfish', 'Swan', 'Tick', 'Tiger', 'Tortoise', 'Turkey', 'Turtle', 'Whale', 'Woodpecker', 'Worm', 'Zebra'

The model got an accuracy of about 80% on test data.

Random images from the dataset :

img

Predictions from the model :

IMG

Wrongly Predicted images by the model :

IMG