PicPurify
Sightengine
IMG.LY
Publitio
Google Vision AI
SimpleCV
imgix
Clarifai
Amazon Rekognition
Clarifai
Google Vision AI
OpenCV
Kairos
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
The core algorithm behind PicPurify is built based on the most advanced deep learning technology. This algorithm is inspired by the human visual system, and is continuously learning how to identify specific contents in an image by scanning millions of them.
Picpurify use the most advanced deep-learning algorithms to deliver an unprecedented accuracy on the moderation of harmful content. That make us expert in computer vision problematics. Our company has trained and then fine-tuned several convolutional neural networks to perform various tasks of classification and detection over images in the context of filtering specific contents for companies.
We fully managed all the steps related to the creation of a deep learning model, starting from the data collection/annotation to the training and optimization of the algorithms. It allow us to provide tailor-made models to companies.
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Based on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 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.
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 9 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / almost 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
Sightengine - Effortless moderation of user-submitted photos. Instantly detect nudity and adult content with our easy-to-use API, for a fraction of the cost of human moderation
Clarifai - The World's AI
IMG.LY - Power Your Apps with IMG.LY | The Leading Provider of Design, Photo, and Video Editing SDKs
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Publitio - Publitio is Video and Image API, a SaaS that streamlines a website's entire image and video management pipeline.
OpenCV - OpenCV is the world's biggest computer vision library
