ezML Alternatives

Add custom computer vision abilities to apps with a simple API, leveraging prebuilt models for image classification, object detection, and facial analysis.

If you're looking for another ezML alternative, there are plenty of other options that can help you build apps with more sophisticated computer vision abilities.

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LandingLens

LandingLens is a cloud-based service that combines Large Vision Models (LVMs) and deep learning to handle a broad range of computer vision tasks across many different industries. It's focused on domain-specific models, efficient image labeling and continuous learning, and flexible deployment. That makes it a good choice for those who want to build and train their own models using proprietary imagery.

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Roboflow

Another good option is Roboflow, which offers a full-on platform for training and deploying computer vision models. It includes automated annotation tools, a large library of pre-trained models and AI-assisted labeling. Roboflow has strong integration with frameworks like TensorFlow and PyTorch and cloud services like AWS and Azure, so it's good for developers and businesses that want to automate their computer vision workflows.

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Twelve Labs

If you're more focused on video, Twelve Labs offers a multimodal AI-powered platform for understanding video. It includes APIs for fast search, text generation and classification of large video catalogs. With features for scalability, high accuracy and enterprise-grade security, Twelve Labs is good for businesses that need serious video processing.

More Alternatives to ezML

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Imagga

Automatically tag, categorize, and search images with customizable machine learning technology for smart applications.

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api4ai

Unlock image processing capabilities with cloud-native APIs for background removal, OCR, face recognition, and more, to automate tasks and extract valuable insights.

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EyePop.ai

Analyze visual data quickly and build custom applications with a self-service interface, no coding required, to make data-driven decisions.

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Visionati

Analyze visual content with AI-driven image captioning, smart tagging, and content filtering, unlocking actionable insights for digital marketing and data analysis.

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Ximilar

Train custom image recognition models with your own labels and categories, and integrate them into your systems for automated tagging, search, and object detection.

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Novita AI

Access a suite of AI APIs for image, video, audio, and Large Language Model use cases, with model hosting and training options for diverse projects.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Valossa

Automates video analysis, transcription, and repurposing at scale, detecting sensitive content, analyzing moods, and identifying ad opportunities with multimodal AI.

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AnyClip

Automatically transforms passive video content into interactive, measurable, and personalized experiences with AI-driven features like chaptering, descriptions, and in-video search.

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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V7

Automates machine learning development tasks, including image and video labeling, to accelerate product delivery and reduce labeling costs by up to 80%.

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Segment Anything Model

Segments objects in any image with a single click, generalizing to unknown objects and images without further training, using interactive points, boxes, or text prompts.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.