Pics.io
Bynder
Venngage
Brandfolder
ContentRaven
Filecamp
Tandem Vault
MediaHaven
Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
Pics.io is an all-in-one digital asset management solution for distributed teams. Using Pics.io DAM you can have all your digital assets centralized, easily accessible at any time, and simple to search and share for distributed teams to work productively. The software works on top of G Suite and Amazon S3, transforming these storages into a searchable and shareable digital library.
Pics.io Amazon RekognitionNo features have been listed yet.
Based on our record, Amazon Rekognition seems to be a lot more popular than Pics.io. While we know about 33 links to Amazon Rekognition, we've tracked only 1 mention of Pics.io. 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.
I am looking for a way to catalog a huge collection of short clips I use to build my videos. I need to be able to find clips based on keywords in different categories. For example if I need a funny (mood) transition (function), etc. I was looking at pics.io which is an online cloud-based solution. I have a storage server I would like to use on my lan and not an online cloud-based setup. I could build my own... Source: over 2 years ago
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 2 months 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 / 10 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 / about 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
Bynder - Bynder is a cloud-based digital asset management solution for marketing professionals looking to simplify how they manage digital content via one central portal.
Clarifai - The World's AI
Venngage - Join over 1 million people creating their own professional graphics with our easy to use infographic maker. Sign up for free and choose from 1000+ infographic templates.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Brandfolder - One link to all your marketing assets. Brandfolder is your convenient source to visually organize, quickly find and easily share all your final brand assets.
Kairos - Facial recognition & mood detection API