Pudding.ai
MyAdLibrary
AdWhistle
Ad Library by MobileAction
AdPlexity
Facebook Ad Library
netadge
Anstrex
Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
Pudding.ai is a real-time ad creative analysis solution that helps marketers understand their ad creative performance. It answers 3 main questions: What creative works? Why? How to improve it?
With Pudding.ai you can easily:
· View the performance of your ad creatives in real-time
· See which creative elements help or hurt your KPIs
· Get actionable insights for future campaigns
· Easily share data with everyone in your team
The AI analyses images, videos, and copy elements providing actionable insights for future campaigns. With Pudding, it becomes possible to understand what elements of the creatives work, which don’t, why, and which ads are in fatigue.
Today, it’s supporting Facebook, Instagram, Google, YouTube, Pinterest and TikTok ads allowing a complete ad creative data overview in one place. In addition, this aids in seamless communication between media and creative teams, closing the feedback loop and increasing overall productivity.
✓ FREE DEAL: monthly creative performance report for Facebook ads!
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Based on our record, Amazon Rekognition seems to be a lot more popular than Pudding.ai. While we know about 33 links to Amazon Rekognition, we've tracked only 3 mentions of Pudding.ai. 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.
Try this creative audit. It's free and sends you creative analysis reports once a month. Source: over 2 years ago
Do they do ad creative performance reporting? It looks quite different from pudding.ai from what I see. Source: about 3 years ago
Dashthis does this as well, it might be a poor mans pudding.ai. Source: about 3 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 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 / 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
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Kairos - Facial recognition & mood detection API
