V7
Labelbox
CloudFactory
SuperAnnotate
Segments.ai
Hive
Playment
Dataloop AI
Scale Nucleus
PerceptiLabs
Aquarium
ML Image Classifier
Pixave
Google Cloud TPUs
PhotoFinder
Inboard
V7 Scale NucleusBased on our record, Scale Nucleus should be more popular than V7. 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.
Https://v7labs.com We're automating humanity’s most important visual tasks from early cancer screening, to alzheimer's research, to giving sight to autonomous robots. Dealroom's most promising breakout company of 2022, Forbes top 20 ML startup of 2021. Just raise a $33m Series A and backed by AI heavyweights, including the creators of Keras, Elixir and leaders at DeepMindaand OpenAI. This month we're hiring for: -... - Source: Hacker News / over 1 year ago
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
Labelbox - Build computer vision products for the real world
PerceptiLabs - A tool to build your machine learning model at warp speed.
CloudFactory - Human-powered Data Processing for AI and Automation
Aquarium - Improve ML models by improving datasets they’re trained on
SuperAnnotate - Empowering Enterprises with Custom LLM/GenAI/CV Models.
ML Image Classifier - Quickly train custom machine learning models in your browser
