imagenet

Citation Author(s):
Wei
Yanlei
Submitted by:
Yongping Wang
Last updated:
Thu, 03/20/2025 - 04:56
DOI:
10.21227/vn0t-4b06
License:
3 Views
Categories:
Keywords:
0
0 ratings - Please login to submit your rating.

Abstract 

<p>ImageNet is a large-scale visual database widely used in the field of computer vision, especially for object recognition tasks. It contains millions of labeled images, organized into multiple categories, and is used for training and evaluating image classification models. ImageNet datasets are widely used for training deep learning models, particularly Convolutional Neural Networks (CNNs). ILSVRC2012 (ImageNet Large Scale Visual Recognition Challenge 2012) is a part of ImageNet and is a competition for image classification and object detection. In ILSVRC2012, the dataset includes over 1000 categories with more than 1 million images. The goal of ILSVRC2012 is to evaluate the performance of different models in image classification and object recognition tasks, and it significantly contributed to the development of modern deep learning architectures. This competition's success helped accelerate the widespread use of deep neural networks, especially Convolutional Neural Networks (CNNs).</p>

Instructions: 

<p>This dataset consists of images from the ImageNet dataset, designed for training and evaluating deep learning models. Dataset Format: The dataset is in ZIP format and contains images organized in folders based on their classes. Each image is in JPEG format. How to Use the Data: Extract the ZIP file to access the images. Use a deep learning framework like TensorFlow or PyTorch to load the images into your model. Refer to the README file for a detailed example of how to load and preprocess the data. Usage: This dataset is provided for non-commercial research purposes only. Please cite the following paper when using the dataset in your work: [Add citation information]. License: The dataset is licensed under the [specific license] and is intended for research purposes only.</p>

More from this Author