Instructions to use sharktide/fruitbot0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/fruitbot0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/fruitbot0") - Notebooks
- Google Colab
- Kaggle
Fruit Identification Mode with fruits-360.
60 classes with 98% accuracy:
'Apple 10', 'Apple 11', 'Apple 12', 'Apple 13', 'Apple 14', 'Apple 17', 'Apple 18', 'Apple 19', 'Apple 5', 'Apple 7', 'Apple 8', 'Apple 9', 'Apple Core 1', 'Apple Red Yellow 2', 'Apple worm 1', 'Banana 3', 'Beans 1', 'Blackberrie 1', 'Blackberrie 2', 'Blackberrie half rippen 1', 'Blackberrie not rippen 1', 'Cabbage red 1', 'Cactus fruit green 1', 'Cactus fruit red 1', 'Caju seed 1', 'Cherimoya 1', 'Cherry Wax not rippen 1', 'Cucumber 10', 'Cucumber 9', 'Gooseberry 1', 'Pistachio 1', 'Quince 2', 'Quince 3', 'Quince 4', 'Tomato 1', 'Tomato 5', 'apple_6', 'apple_braeburn_1', 'apple_crimson_snow_1', 'apple_golden_1', 'apple_golden_2', 'apple_golden_3', 'apple_granny_smith_1', 'apple_hit_1', 'apple_pink_lady_1', 'apple_red_1', 'apple_red_2', 'apple_red_3', 'apple_red_delicios_1', 'apple_red_yellow_1', 'apple_rotten_1', 'cabbage_white_1', 'carrot_1', 'cucumber_1', 'cucumber_3', 'eggplant_long_1', 'pear_1', 'pear_3', 'zucchini_1', 'zucchini_dark_1'
- Downloads last month
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Model tree for sharktide/fruitbot0
Base model
microsoft/resnet-50