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- ---
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- license: cc0-1.0
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: label
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- dtype:
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- class_label:
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- names:
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- '0': Auto Rickshaws
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- '1': Bikes
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- '2': Cars
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- '3': Motorcycles
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- '4': Planes
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- '5': Ships
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- '6': Trains
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- splits:
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- - name: train
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- num_bytes: 606407823
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- num_examples: 5590
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- download_size: 871660951
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- dataset_size: 606407823
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc0-1.0
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': Auto Rickshaws
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+ '1': Bikes
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+ '2': Cars
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+ '3': Motorcycles
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+ '4': Planes
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+ '5': Ships
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+ '6': Trains
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+ splits:
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+ - name: train
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+ num_bytes: 606407823
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+ num_examples: 5590
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+ download_size: 871660951
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+ dataset_size: 606407823
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+ ---
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+
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+ ## Vehicles Dataset
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+
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+ A lightweight image classification dataset of **vehicle categories** hosted on the Hugging Face Hub. It contains:
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+
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+ * **~5,590 images** across various vehicle types
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+ * **7 class labels** (e.g., Cars, Bikes, Planes, Trains, Ships, Auto Rickshaws, Motorcycles)
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+ * Single training split for exploration and model benchmarking
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+ * Public domain license (**CC0-1.0**)
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+ * Easy to load with the Hugging Face Datasets library
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+
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+ ### Load in Python
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("AIOmarRehan/Vehicles")
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+ print(ds["train"].features)
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+ ```
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+
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+ ---
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+
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+ This dataset is ideal for:
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+
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+ * Evaluating model generalization
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+ * Benchmarking PyTorch architectures
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+ * Practicing image preprocessing and augmentation