dvk65/TrashTypes
The dataset has images collected from publicly available resources like Kaggle and Roboflow, and some photos that I clicked. Feel free to expand on the ones available and add more directories. To get an idea of which additional directories could be useful refer recycle.jpeg and compost.jpeg. 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. To use this dataset in your python project… See the full description on the dataset page: https://huggingface.co/datasets/dvk65/TrashTypes.
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1---2license: mit3configs:4- config_name: default5 data_files:6 - split: train7 path: data/train-*8dataset_info:9 features:10 - name: image11 dtype: image12 - name: label13 dtype:14 class_label:15 names:16 '0': apples17 '1': bananas18 '2': bottles19 '3': cans20 '4': cardboard21 '5': cups22 '6': eggshells23 '7': generalcompost24 '8': mixers25 '9': peels26 '10': plasticbags27 '11': plastics28 '12': tissues29 splits:30 - name: train31 num_bytes: 12244484132 num_examples: 1465133 download_size: 205029330434 dataset_size: 12244484135---36The dataset has images collected from publicly available resources like Kaggle and Roboflow, and some photos that I clicked.</br>37Feel free to expand on the ones available and add more directories.</br>38To get an idea of which additional directories could be useful refer recycle.jpeg and compost.jpeg.</br>39The 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>40To use this dataset in your python project use:41```42from datasets import load_dataset43 44dataset = load_dataset("dvk65/TrashTypes", split="train")45label_names = dataset.features["label"].names46```47Currently, it is in a single train split.