Tiny ImageNet Dataset
Load Tiny ImageNet with one line of code. Stream the Tiny ImageNet dataset while training ML models. Visualize the classification dataset of 100K images.
Tiny ImageNet dataset
What is Tiny ImageNet Dataset?
In Tiny ImageNet, there are 100,000 images divided up into 200 classes. Every image in the dataset is downsized to a 64×64 colored image. For every class, there are 500 training images, 50 validating images and 50 test images.
Download Tiny ImageNet Dataset in Python
Instead of downloading the TinyImageNet dataset in Python, you can effortlessly load it in Python via our open-source package Hub with just one line of code.
Load Tiny ImageNet Dataset Training Subset in Python
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import hub
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ds = hub.load("hub://activeloop/tiny-imagenet-train")
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Load Tiny ImageNet Dataset Testing Subset in Python
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import hub
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ds = hub.load("hub://activeloop/tiny-imagenet-test")
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Load Tiny ImageNet Dataset Validation Subset in Python
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import hub
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ds = hub.load("hub://activeloop/tiny-imagenet-validation")
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Tiny ImageNet Dataset Structure
Tiny ImageNetData Fields
- images: tensor containing the image.
- labels: tensor to identify object in the image
- boxes: tensor to identify the object using bounding boxes.
Tiny ImageNet Data Splits
How to use Tiny ImageNet Dataset with PyTorch and TensorFlow in Python
Train a model on Tiny ImageNet dataset with PyTorch in Python
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dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
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Train a model on Tiny ImageNet dataset with TensorFlow in Python
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dataloader = ds.tensorflow()
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Additional Information about Tiny ImageNet Dataset
Tiny ImageNet Dataset Description
- Paper: Introduced by Le et al. in Tiny imagenet visual recognition challenge
- Point of Contact: N/A
Tiny ImageNet Dataset Curators
Ya Le and Xuan S. Yang
Tiny ImageNet Dataset Licensing Information
Hub users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license.
If you're a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!
Tiny ImageNet Dataset Citation Information
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@inproceedings{Le2015TinyIV,
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title={Tiny ImageNet Visual Recognition Challenge},
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author={Ya Le and Xuan S. Yang},
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year={2015}
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}
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Tiny ImageNet Dataset FAQs
What is the Tiny ImageNet dataset for Python?
The Tiny ImageNet dataset is a visual database often used in visual object recognition software research. The Tiny ImageNet dataset is a modified subset of the original ImageNet dataset. The Tiny ImageNet dataset has 800 fewer classes than the ImageNet dataset, with 100,000 training examples and 10,000 validation examples.
How can I use Tiny ImageNet dataset in PyTorch or TensorFlow?
You can stream the Tiny ImageNet dataset while training a model in PyTorch or TensorFlow with one line of code using the open-source package Activeloop Hub in Python. See detailed instructions on how to train a model on tinyimagenet dataset with PyTorch in Python or train a model on tinyimagenet dataset with TensorFlow in Python.
Last modified 27d ago
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Contents
Tiny ImageNet dataset
What is Tiny ImageNet Dataset?
Download Tiny ImageNet Dataset in Python
Load Tiny ImageNet Dataset Training Subset in Python
Load Tiny ImageNet Dataset Testing Subset in Python
Load Tiny ImageNet Dataset Validation Subset in Python
Tiny ImageNet Dataset Structure
How to use Tiny ImageNet Dataset with PyTorch and TensorFlow in Python
Additional Information about Tiny ImageNet Dataset
Tiny ImageNet Dataset Description
Tiny ImageNet Dataset FAQs