


# Arabic Translated ImageNet Dataset
---

## Overview

Welcome to the Arabic Translated ImageNet Dataset! This dataset is a version of the ImageNet dataset, translated into Arabic. ImageNet is a widely used benchmark for image classification tasks, and this translation aims to facilitate research and development in the Arabic language.

## Contents

1. **Arabic_query_short:** Arabic translations of the original ImageNet class labels.

2. **Arabic_query_long:** Arabic translations of the original ImageNet class labels within a simple template.

## Usage

- **Image Classification:** Use this dataset for training and evaluating models in the domain of image classification with a focus on the Arabic language.

## Dataset Translation and Considerations

This dataset has been translated using the Google Translation API. It's important to note that automated translation methods, including machine translation, may introduce biases and inaccuracies. The translations are generated algorithmically, and some categories may not have accurate or complete Arabic translations. Researchers and users are advised to be mindful of these limitations and consider the implications of incomplete or potentially inaccurate translations in their analyses.



task_categories:zero-shot-classification task_categories:image-classification size_categories:n<1K language:ar region:us
{"language": ["ar"], "size_categories": ["n<1K"], "task_categories": ["zero-shot-classification", "image-classification"], "pretty_name": "ArabicImageNet"}
TAGS
#task_categories-zero-shot-classification #task_categories-image-classification #size_categories-n<1K #language-Arabic #region-us 




# Arabic Translated ImageNet Dataset
---

## Overview

Welcome to the Arabic Translated ImageNet Dataset! This dataset is a version of the ImageNet dataset, translated into Arabic. ImageNet is a widely used benchmark for image classification tasks, and this translation aims to facilitate research and development in the Arabic language.

## Contents

1. Arabic_query_short: Arabic translations of the original ImageNet class labels.

2. Arabic_query_long: Arabic translations of the original ImageNet class labels within a simple template.

## Usage

- Image Classification: Use this dataset for training and evaluating models in the domain of image classification with a focus on the Arabic language.

## Dataset Translation and Considerations

This dataset has been translated using the Google Translation API. It's important to note that automated translation methods, including machine translation, may introduce biases and inaccuracies. The translations are generated algorithmically, and some categories may not have accurate or complete Arabic translations. Researchers and users are advised to be mindful of these limitations and consider the implications of incomplete or potentially inaccurate translations in their analyses.



# Arabic Translated ImageNet Dataset
--- ## Overview

Welcome to the Arabic Translated ImageNet Dataset! This dataset is a version of the ImageNet dataset, translated into Arabic. ImageNet is a widely used benchmark for image classification tasks, and this translation aims to facilitate research and development in the Arabic language. ## Contents

1. Arabic_query_short: Arabic translations of the original ImageNet class labels.

2. Arabic_query_long: Arabic translations of the original ImageNet class labels within a simple template. ## Usage

- Image Classification: Use this dataset for training and evaluating models in the domain of image classification with a focus on the Arabic language. ## Dataset Translation and Considerations

This dataset has been translated using the Google Translation API. It's important to note that automated translation methods, including machine translation, may introduce biases and inaccuracies. The translations are generated algorithmically, and some categories may not have accurate or complete Arabic translations. Researchers and users are advised to be mindful of these limitations and consider the implications of incomplete or potentially inaccurate translations in their analyses.
TAGS
#task_categories-zero-shot-classification #task_categories-image-classification #size_categories-n<1K #language-Arabic #region-us 
 # Arabic Translated ImageNet Dataset
--- ## Overview

Welcome to the Arabic Translated ImageNet Dataset! This dataset is a version of the ImageNet dataset, translated into Arabic. ImageNet is a widely used benchmark for image classification tasks, and this translation aims to facilitate research and development in the Arabic language. ## Contents

1. Arabic_query_short: Arabic translations of the original ImageNet class labels.

2. Arabic_query_long: Arabic translations of the original ImageNet class labels within a simple template. ## Usage

- Image Classification: Use this dataset for training and evaluating models in the domain of image classification with a focus on the Arabic language. ## Dataset Translation and Considerations

This dataset has been translated using the Google Translation API. It's important to note that automated translation methods, including machine translation, may introduce biases and inaccuracies. The translations are generated algorithmically, and some categories may not have accurate or complete Arabic translations. Researchers and users are advised to be mindful of these limitations and consider the implications of incomplete or potentially inaccurate translations in their analyses.
passage: TAGS
#task_categories-zero-shot-classification #task_categories-image-classification #size_categories-n<1K #language-Arabic #region-us 
# Arabic Translated ImageNet Dataset
---## Overview

Welcome to the Arabic Translated ImageNet Dataset! This dataset is a version of the ImageNet dataset, translated into Arabic. ImageNet is a widely used benchmark for image classification tasks, and this translation aims to facilitate research and development in the Arabic language.## Contents

1. Arabic_query_short: Arabic translations of the original ImageNet class labels.

2. Arabic_query_long: Arabic translations of the original ImageNet class labels within a simple template.## Usage

- Image Classification: Use this dataset for training and evaluating models in the domain of image classification with a focus on the Arabic language.## Dataset Translation and Considerations

This dataset has been translated using the Google Translation API. It's important to note that automated translation methods, including machine translation, may introduce biases and inaccuracies. The translations are generated algorithmically, and some categories may not have accurate or complete Arabic translations. Researchers and users are advised to be mindful of these limitations and consider the implications of incomplete or potentially inaccurate translations in their analyses.