
Our Streetview Bounding Box Dataset features **10 million annotated images across 10 classes**, designed for object detection in AI development. It covers diverse streetview scenarios in **Korean, Japanese, and English**, provided in JPG format at 96 dpi resolution. Suitable for everything from urban planning to advanced research, it offers **customizable channel access** for maximum flexibility. Upgrade your AI models with our versatile dataset.

![1_Streetview Bounding Box.jpg](https://prdstrapimediastorage.blob.core.windows.net/prdstrapimediastorage/assets/1_Streetview_Bounding_Box_6733fdd1af.jpg)

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Amount

Field

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## Leverage this dataset to 

- **NLP Model Development**: Tailor NLP models to interpret streetview data effectively.
- **Object Detection Improvement**: Elevate your AI's accuracy in identifying streetview objects.
- **Optimization for Streetview Scenarios**: Enhance models for applications like self-driving vehicles or urban planning.
- **Robust Model Creation**: Use our diverse class range for adaptable AI models.
- **Real-World Performance Enhancement**: Train with our dataset to boost your AI models' real-world efficacy.

## Use Cases

- **AI training:** This dataset is specifically designed for AI builders, providing a curated collection of images with annotations for a 10-class object detector. With over 10 million images, this dataset offers an extensive and diverse range of data to train your AI models and algorithms.
- **Streetview applications:** With a focus on streetview images, this dataset is perfect for developers looking to enhance their applications with real-world data. Whether you're building navigation or mapping tools, this dataset provides the essential data to make your applications accurate and reliable. 
- **Image recognition:** Harness the power of AI to accurately identify and classify objects in streetview images. This dataset is ideal for training image recognition models, allowing you to improve accuracy and efficiency in your applications. 
- **Multilingual AI:** With annotations in multiple languages such as ko-KO, jp-JP, and en-US, this dataset is perfect for building AI models that can understand and analyze streetview images in different languages. Expand the reach of your AI applications and cater to a global audience with this multilingual dataset. 




## Technical Specifications

- **Type:** Computer Vision (CV) 
-  **Dataset Name**: Streetview Bounding Box 
-  **Language**: Multilingual (ko-KO, jp-JP, en-US, etc) 
- **Quantity:** 10,000,000 images Unit: Images Domain: Streetview 
- **Description:** Enhance your artificial intelligence (AI) training with our Streetview Bounding Box dataset. This collection of 10 million high-quality images is specifically designed for a 10-class object detector, making it an invaluable resource for your CV models. 
- **Demographic Description:** Our dataset includes the following classes: Pothole, Fatigue-Crack, Vertical-Crack, Horizontal-Crack, PoorFixed-Road, Trash, Banner-I, Roadmark-Poor, SafetyRod-Poor, and Manhole. It is available in multiple languages, including English, Korean, and Japanese, to cater to a wide range of AI builders. 
- **Data Type:** Static 
- **File Format:** JPG 
- **Resolution:** 96 dpi 
- **Resolution Unit:** Dots Per Inch (dpi) 




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Streetview Object Detection Dataset