custom.yaml

train: /home/nct01/nct01317/VO/data/train  # Path to train
val: /home/nct01/nct01317/VO/data/test      # Path to test

nc: 80                             # Number of classes on the dataset
names: [
        "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"
        ]  # Classes of the dataset