Scale Nucleus
Aquarium
PerceptiLabs
ML Image Classifier
Pixave
Pretrained AI
Google Cloud TPUs
Roboflow Universe
BlackBerry KEYone
LG G6
Razer Phone
Samsung Galaxy S8
Google Pixel 2
Samsung Galaxy S10
Xiaomi Redmi Go
Pixel
BlackBerry KEYoneBased on our record, Scale Nucleus seems to be more popular. It has been mentiond 2 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.
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
Aquarium - Improve ML models by improving datasets they’re trained on
LG G6 - A near bezel-less phone by LG
PerceptiLabs - A tool to build your machine learning model at warp speed.
Razer Phone - A mobile phone built for gaming
ML Image Classifier - Quickly train custom machine learning models in your browser
Samsung Galaxy S8 - Samsung's new phones, Galaxy S8 and S8+