Imatag
IMATAG protects your visual content online, such as product images, brand visuals, licensed content, or sensitive files.
Based on a patented technology of Invisible Watermark (or Forensic Watermark), it comes in two flavors:
- IMATAG LEAKS, the first online solution for the identification of photo or video leaks,
- and IMATAG MONITOR, the most reliable visual search solution to track the use of your content on the internet.
How it works:
The software discreetly places an imperceptible identifier at the pixel level of images or videos. This invisible watermark allows to identify your content on the web regardless if it has been resized, cropped or trimmed, posted on social media or copied via a screenshot. Used as a tracker, it is also able to trace the origin of a leak.
Supports images (photos, renders, design), videos, and PDF.
Available as SaaS via Web UI or API, or on premise software.
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TinEye
TinEye’s computer vision, image recognition and reverse image search products power applications that make your images searchable. We have built some of the world's fastest and most accurate image recognition APIs. Use image recognition for content moderation and fraud detection. Integrate fast and accurate label matching for the beverage industry. Track where and how your images appear online. Verify images, find where an image is appearing, comply with copyright. Connect the physical world to the digital using image recognition. Most likely the best color search tool in the world.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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