ilee0022/ImageNet100

1---2dataset_info:3  features:4  - name: image5    dtype: image6  - name: label7    dtype: int648  - name: text9    dtype: string10  splits:11  - name: train12    num_bytes: 14947074585.013    num_examples: 11700014  - name: test15    num_bytes: 726003480.016    num_examples: 500017  - name: validation18    num_bytes: 1656623387.019    num_examples: 1300020  download_size: 1736744547921  dataset_size: 17329701452.022configs:23- config_name: default24  data_files:25  - split: train26    path: data/train-*27  - split: test28    path: data/test-*29  - split: validation30    path: data/validation-*31---32 33# Dataset Card for Dataset Name34 35<!-- Provide a quick summary of the dataset. -->36 37This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).38 39## Dataset Details40 41This is Huggingface dataset version of https://www.kaggle.com/datasets/ambityga/imagenet100. All credits are given to the original author and please cite the original author.42 43### Acknowledgements44Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg and Li Fei-Fei. (* = equal contribution) ImageNet Large Scale Visual Recognition Challenge. IJCV, 201545 46### Dataset Description47 48<!-- Provide a longer summary of what this dataset is. -->49 50 51 52- **Curated by:** [More Information Needed]53- **Funded by [optional]:** [More Information Needed]54- **Shared by [optional]:** [More Information Needed]55- **Language(s) (NLP):** [More Information Needed]56- **License:** [More Information Needed]57 58### Dataset Sources [optional]59 60<!-- Provide the basic links for the dataset. -->61 62- **Repository:** [More Information Needed]63- **Paper [optional]:** [More Information Needed]64- **Demo [optional]:** [More Information Needed]65 66## Uses67 68<!-- Address questions around how the dataset is intended to be used. -->69 70### Direct Use71 72<!-- This section describes suitable use cases for the dataset. -->73 74[More Information Needed]75 76### Out-of-Scope Use77 78<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->79 80[More Information Needed]81 82## Dataset Structure83 84<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->85 86[More Information Needed]87 88## Dataset Creation89 90### Curation Rationale91 92<!-- Motivation for the creation of this dataset. -->93 94[More Information Needed]95 96### Source Data97 98<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->99 100#### Data Collection and Processing101 102<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->103 104[More Information Needed]105 106#### Who are the source data producers?107 108<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->109 110[More Information Needed]111 112### Annotations [optional]113 114<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->115 116#### Annotation process117 118<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->119 120[More Information Needed]121 122#### Who are the annotators?123 124<!-- This section describes the people or systems who created the annotations. -->125 126[More Information Needed]127 128#### Personal and Sensitive Information129 130<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->131 132[More Information Needed]133 134## Bias, Risks, and Limitations135 136<!-- This section is meant to convey both technical and sociotechnical limitations. -->137 138[More Information Needed]139 140### Recommendations141 142<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->143 144Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.145 146## Citation [optional]147 148<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->149 150**BibTeX:**151 152[More Information Needed]153 154**APA:**155 156[More Information Needed]157 158## Glossary [optional]159 160<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->161 162[More Information Needed]163 164## More Information [optional]165 166[More Information Needed]167 168## Dataset Card Authors [optional]169 170[More Information Needed]171 172## Dataset Card Contact173 174[More Information Needed]