Reduces the size of a document by only keeping the most relevant sentences from it. This model aims to reduce the size to 20% of the original.

This web public API was created by Deepomatic. The Deepomatic Fashion Apparel Detection API endpoint is located at https://api.deepomatic.com/v0.6/detect/fashion. You can find the Deepomatic portal / hompage here. If you need Deepomatic Fashion Apparel Detection API support, you can visit developer support here, contact support directly at support@deepomatic.com, or reach out to their Twitter account at @deepomatic. The Deepomatic Fashion Apparel Detection API requires API Key and App ID authentication. For more information, check out their API Documentation or terms of service (here). The Deepomatic Fashion Apparel Detection API is not currently available on the RapidAPI marketplace. Click "Request this API on RapidAPI" to let us know if you would like to access to this API. Meanwhile, you can check out the top APIs that currently available for developers.

On the demo videos shown above, the detection is performed in real-time. None of the frame images belong to the training or validation sets. On the contrary, it is applied to a new type of images. This reflects the recognition quality that you can achieve when you have access to high-quality datasets.

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Provides easy&fast access to text2image / image2image / inpainting AI. (57 models across Stable Diffusion 1.x/2.x and finetuned models)

Builds conversational interfaces (for example, chatbots, and voice-powered apps and devices).

The Distributed AI APIs are early access offerings from IBM Research to enable AI in distributed environments. Distributed AI APIs are a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud and distributed and edge computing environments. These APIs are general purpose and support many modalities of data, for example, visual, acoustic, sensors, network logs, time series, or natural language. Using these APIs, you can create AI-based applications in various industries.

Our mission is to make AI accessible to as many people as possible and empower businesses to solve complex problems and create new opportunities for growth and innovation. We strive to bring the power of AI to the world, one person and one project at a time.

The Everypixel API offers image recognition as a service.
The API is built around a simple idea. You send inputs (an image)
to the service and it returns predictions.

Run AI models with our cloud API
No machine learning needed

FactSet’s PA Engine API is a modern, flexible, REST API that enables users to access the power of FactSet’s world-class Portfolio Analytics suite. You can run any report, from multi-asset class portfolio and index composition, characteristics, ESG, performance, attribution, peer analysis, predicted risk, and more. Users can programmatically create Portfolio Analysis reports without reliance on the front-end user interface, leverage existing PA reports and override existing options. Users with existing access to Portfolio Analytics can also leverage the Components Manager endpoints to create custom report shells for portfolio analytics or leverage FactSet’s template library.

Appen is the global leader in data for the AI Lifecycle.

With more than 25 years of experience in data sourcing, data annotation, and model evaluation, we enable organizations to launch the world’s most innovative artificial intelligence systems.

Our expertise includes a global crowd of more than 1 million skilled contractors who speak 235+ languages, in more than 70,000 locations in 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and government the confidence to launch world-class AI projects.

Founded in 1996, Appen has customers and offices globally.