twilio-automation-plugin VS image-deduplication-plugin

Week 1: 🎨 AI Art Gallery & Twilio Automation

Some of these plugins were simpler than others. On one end, the Twilio automation plugin consists of a single Python file without bells and whistles. On the opposite extreme, plugins like Active Learning, which required multiple operators, caching, and special handling for many different scenarios. Plugins like Reverse Image Search and Concept Space Traversal were challenging in a different way, mostly because I am new to JavaScript. But that is for another day.

In the AI Art Gallery and Twilio Automation plugins, I had used the ctx.trigger() method to perform operations like reloading samples (ctx.trigger(“reload_samples”)), and reloading the dataset (ctx.trigger(“reload_dataset”)). I was even aware from VoxelGPT that you could use ctx.trigger() to set the session’s view.

From our own experiences building high-performing visual AI systems, we know well that AI/ML specialists struggle with the challenges of curating high-quality datasets. That's why we’ve invested in tools and plugins such as the data quality plugin for FiftyOne, which helps you find problematic images in your dataset such as blurry images, too bright or too dark images, and potentially noisy images. And this deduplication plugin for FiftyOne helps you find near and exact duplicates in your dataset.

From concept interpolation to image deduplication, optical character recognition, and even curating your own AI art gallery by adding generated images directly into a dataset, your imagination is the only limit. Join us to discover how you can unleash your creativity and interact with data like never before.

Week 4: 🪞Image Deduplication