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dvk65/TrashTypes

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Hugging Face2025-12-09 更新2025-12-20 收录
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https://hf-mirror.com/datasets/dvk65/TrashTypes
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资源简介:
--- license: mit configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': apples '1': bananas '2': bottles '3': cans '4': cardboard '5': cups '6': eggshells '7': generalcompost '8': mixers '9': peels '10': plasticbags '11': plastics '12': tissues splits: - name: train num_bytes: 122444841 num_examples: 14651 download_size: 2050293304 dataset_size: 122444841 --- The dataset has images collected from publicly available resources like Kaggle and Roboflow, and some photos that I clicked.</br> Feel free to expand on the ones available and add more directories.</br> To get an idea of which additional directories could be useful refer recycle.jpeg and compost.jpeg.</br> The notebook used to train the dataset and the best performing model with 98.2947% accuracy is saved at https://huggingface.co/dvk65/trash-classifier-resnet50. </br> To use this dataset in your python project use: ``` from datasets import load_dataset dataset = load_dataset("dvk65/TrashTypes", split="train") label_names = dataset.features["label"].names ``` Currently, it is in a single train split.
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