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Computer Vision APIs and Services

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Azure Computer Vision

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Features and Use Cases: Extracts information from images to categorize and process visual data, reads text in images, supports OCR, generates smart thumbnails.

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Clarifai

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Features and Use Cases: General object recognition, video frame analysis, custom model training, visual search, and demographic predictions.

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Face++

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Features and Use Cases: Face recognition, face comparison, face search in images and videos, attribute analysis including age, gender, emotion, and skin tone.

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Imagga API

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Features and Use Cases: Automates the process of image tagging and categorization, color extraction, content moderation, and personalized image recommendations based on visual similarity.

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AWS Rekognition

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Features and Use Cases: Image and video analysis, facial analysis and comparison, object and scene detection, unsafe content detection.

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Google Vision API

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Features and Use Cases: Image content analysis, object detection, Optical Character Recognition (OCR), facial detection (not recognition for privacy), and landmark detection.

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OpenCV

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Features and Use Cases: A library of programming functions mainly aimed at real-time computer vision, such as object detection, feature detection, and image processing.

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Sightengine API

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Features and Use Cases: Moderates content in images and videos, detects nudity, weapons, alcohol, drugs, and offensive signs, facial detection, and celebrity recognition.

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IBM Watson Visual Recognition

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Features and Use Cases: Classifies images into categories, detects faces and approximate ages, identifies food, and trains custom classifiers.

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DeepVision API

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Features and Use Cases: Real-time face recognition and analysis, demographic analysis, object recognition, and custom model development.

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