Introducing our cutting-edge Scene Classification API, a revolutionary tool designed to unlock the full potential of scene recognition in images and videos on a massive scale. With this powerful model at your disposal, you can effortlessly navigate through the visual content, gaining invaluable insights into the context and setting of every scene.
At its core, the Scene Classification API harnesses the power of state-of-the-art deep learning algorithms. Leveraging the latest advancements in computer vision technology, it accurately identifies diverse scenes with remarkable precision, regardless of the complexity or variety of the visual content. Whether it's a bustling cityscape, a serene countryside, a lively party, or a cozy living room, this API has the ability to decipher and categorize scenes with ease.
One of the key features of this API is its ability to distinguish between indoor and outdoor scenes. Understanding the scene's location is vital for many applications, such as targeted advertising, tourism recommendations, and safety monitoring. By discerning between these two fundamental categories, the API provides a foundation for generating context-aware solutions tailored to specific environments.
Going beyond just labeling scenes, our Scene Classification API goes the extra mile by organizing scenes into different categories based on their attributes. Whether it's detecting natural landscapes, urban environments, historical landmarks, or social gatherings, the API provides an impressive level of granularity in its scene analysis. This depth of understanding allows you to gain profound insights into your visual data, empowering you to make informed decisions for various applications across industries.
When you access the API, you can expect to receive not only a single scene label but multiple scene labels for each image or video. This multiplicity of labels ensures a comprehensive analysis, capturing the richness and complexity of the content. Additionally, the API provides detailed attributes for each scene, enriching the scene labels with specific contextual information. From weather conditions and lighting to the presence of objects and human activity, these attributes add layers of valuable metadata to your visual data.
Our Scene Classification API offers unmatched versatility, catering to a wide range of use cases. Whether you're working on content moderation, social media analysis, urban planning, or travel recommendation systems, the API serves as an invaluable tool for extracting actionable insights from visual content.
In conclusion, the Scene Classification API revolutionizes scene recognition by offering unparalleled accuracy, robust attribute-based categorization, and in-depth insights into the visual data. Unlock the potential of your images and videos with our API and witness a new era of scene analysis unfold before your eyes.
Pass the image URL and receive its classification.
Content Moderation and Filter Systems: Social media platforms and online communities can use the Scene Classification API to automatically detect and moderate inappropriate or sensitive content in images and videos. By identifying scenes containing explicit or violent content, the API helps maintain a safer and more user-friendly environment for users.
Travel and Tourism Recommendations: Travel apps and websites can utilize the API to enhance their recommendation systems. By analyzing user-generated photos or videos, the API can identify scenic landscapes, popular tourist attractions, and indoor/outdoor settings, enabling personalized travel recommendations based on users' preferences.
Real Estate Property Search: In the real estate industry, the API can be integrated into property search platforms. By automatically classifying indoor and outdoor scenes and detecting attributes like spacious gardens, stunning views, or modern interiors, potential buyers can quickly find properties that match their preferences.
Urban Planning and Infrastructure Development: City planners and policymakers can benefit from the API's ability to categorize urban scenes and identify attributes such as public spaces, pedestrian areas, busy intersections, or recreational facilities. This data can inform urban planning decisions and help design more efficient and sustainable city environments.
Surveillance and Security Systems: Security companies and organizations can leverage the Scene Classification API to enhance surveillance systems. By automatically detecting outdoor and indoor scenes and recognizing attributes like crowded areas, suspicious activities, or accidents, the API aids in real-time monitoring and incident response, ensuring public safety and security.
Besides the number of API calls, there is no other limitation
This scene classification model identifies the scenes in images and videos at scale. The model checks the scene location (indoor/outdoor) and groups them under different categories based on their attributes. It returns multiple scene labels and detailed attributes.
Classification - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
Continue with Google
Continue with Github
{"Indoor":false,"categories":["mountain_snowy","glacier","iceberg","tundra","mountain"],"attributes":["open area","natural light","natural","rugged scene","cold","clouds","climbing","snow","far-away horizon"]}
curl --location --request POST 'https://zylalabs.com/api/2303/scene+classification+api/2198/classification' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"url": "https://wallpaperaccess.com/full/359168.jpg"
}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The Scene Classification API is an advanced computer vision tool that utilizes deep learning algorithms to identify scenes in images and videos at scale. It categorizes scenes based on their attributes and determines their location as either indoor or outdoor. Additionally, the API provides multiple scene labels and detailed attributes, offering a comprehensive analysis of the visual content.
The Scene Classification API leverages state-of-the-art deep learning models, resulting in high accuracy and precision in scene recognition. However, the actual accuracy can depend on various factors, such as image or video quality, complexity of scenes, and the model's training data. It is recommended to test the API on a representative dataset to gauge its performance for specific use cases.
Yes, the Scene Classification API provides granular scene categorization. It can identify various indoor scenes like living rooms, kitchens, or offices, as well as outdoor scenes like landscapes, cityscapes, or beaches. The API's ability to recognize diverse attributes ensures that scenes are classified into specific and relevant categories.
Integrating the API into your application involves making HTTP requests to its endpoint with the image or video data you want to analyze. The API will process the input and return the results, including scene labels and attributes. Detailed documentation with code examples is provided to facilitate easy integration.
The API provides detailed attributes, which may include weather conditions (sunny, rainy, etc.), lighting (daytime, nighttime), presence of objects (vehicles, furniture), human activity (crowded, people walking), and more. These attributes offer a deeper understanding of the context and characteristics of each scene.
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