Microsoft Computer Vision API VS Sirv
Compare Microsoft Computer Vision API VS Sirv and see what are their differences
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Microsoft Computer Vision API
OpenCV
Amazon Rekognition
Google Vision AI
Clarifai
Microsoft Video API
SimpleCV
Chooch
Sirv
Cloudimage
Cloudinary
imgix
Gumlet
tiny.pictures
ImageKit.io
ImageEngine
Sirv hosts, processes and optimizes images on-the-fly, empowering you to achieve near-instant page load time. With easy digital asset management across your organization, Sirv is a joy to use. Sirv delivers the fastest 360-degree spin and deep zoom images, a perfect solution for retailers who like to give richer product experiences to their shoppers. Start your free trial at the Sirv website today.
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Based on our record, Microsoft Computer Vision API should be more popular than Sirv. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/ It's this However, the CODENAME is Chameleon Sorry for the confusion. Source: 11 months ago
This action searches through all markdown files in all folders. If an image does not have an alt text, the action uses the microsoft/git-base-coco model from HuggingFace to generate alt text. The end user can also create and use their Azure Computer Vision resource for alt text generation by providing their key and endpoint as repository secrets. When using the Azure Computer Vision Resource, they can also specify... - Source: dev.to / 12 months ago
Azure Cognitive Services for Vision? https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/. Source: about 1 year ago
Recently Microsoft announced the public preview of a new version of the Computer Vision Image Analysis API, making all visual image features ranging from Optical Character Recognition (OCR) to object detection, available through a single endpoint. This is the 4th version of the API, and more details are disclosed in the news item: https://www.infoq.com/news/2022/10/azure-computer-vision-api/. Source: over 1 year ago
Very interesting topic about integration of Microsoft Cognitive Services Computer Vision APIs with Angular app. While there was no talk about some specific Angular techniques, this speech showed how easy it could be to implement a text recognition feature by using easy-to-use services provided by Azure Cloud. I was impressed. Now I am familiar with following aspects:. - Source: dev.to / over 2 years ago
Then you can use something like Adobe Dynamic Media (previously scene7) or Sirv (https://sirv.com/) for the digital assets. The images are layered as selections are made. Source: over 1 year ago
I'm working on a blog with SvelteKit and the template someone posted a couple days ago. I got my images uploaded on sirv. I'm using adapter-static and deploying on render. Source: over 2 years ago
Sirv.com — Smart Image CDN with on-the-fly image optimization and resizing. Free tier includes 500 MB of storage and 2 GB bandwidth. - Source: dev.to / almost 3 years ago
OpenCV - OpenCV is the world's biggest computer vision library
Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.