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Resnet 18 1
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Resnet 18 1
Developed by jsli96
Tiny ImageNet is a small-scale image classification dataset designed for benchmarking and model training in computer vision tasks.
Downloads 35
Release Time : 4/11/2023
Model Overview
Tiny ImageNet is a simplified version of the ImageNet dataset, containing images from 200 categories, with 500 training images, 50 validation images, and 50 test images per category. It is primarily used for model training and evaluation in image classification tasks.
Model Features
Simplified ImageNet
Includes images from 200 categories, making it more lightweight than the full ImageNet dataset, ideal for rapid experimentation and benchmarking.
Standardized dataset
Provides training, validation, and test sets for easy model training and evaluation.
Suitable for education and small projects
The dataset's moderate size makes it perfect for teaching, prototyping, and small research projects.
Model Capabilities
Image classification
Computer vision task benchmarking
Model training
Use Cases
Education
Computer vision course experiments
Used for image classification experiments in teaching to help students understand how deep learning models work.
Research
Model prototyping
Used for quickly validating new computer vision algorithms or model architectures.
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