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@@ -35,4 +35,13 @@ dataset_info:
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  ---
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  The dataset has images collected from publicly available resources like Kaggle and Roboflow, and some photos that I clicked.</br>
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  Feel free to expand on the ones available and add more directories.</br>
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- To get an idea of which directories could be added refer recycle.jpeg and compost.jpeg.
 
 
 
 
 
 
 
 
 
 
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  The dataset has images collected from publicly available resources like Kaggle and Roboflow, and some photos that I clicked.</br>
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  Feel free to expand on the ones available and add more directories.</br>
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+ To get an idea of which additional directories could be useful refer recycle.jpeg and compost.jpeg.</br>
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+ 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>
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+ To use this dataset in your python project use:
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+ ```
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("dvk65/TrashTypes", split="train")
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+ label_names = dataset.features["label"].names
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+ ```
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+ Currently, it is in a single train split.