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SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotateโs expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
Medium
SuperAnnotateMedium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.
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Based on our record, Medium seems to be a lot more popular than SuperAnnotate. While we know about 3092 links to Medium, we've tracked only 1 mention of SuperAnnotate. 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.
Quantenna used 1.1.1.1 for RPC to their wifi chip in their SDK by default. Should not have been exposed to global routing but of course people screwed that up. https://medium.com/@mrtcve/atts-misuse-of-cloudflare-dns-ip-1-1-1-1-e64901e41a09. - Source: Hacker News / 1 day ago
It depends on how you define the observable pattern. The fundamental components here are laziness and weak connections between graph nodes. Node values are getting materialized only when you observe them, and the system is flexible for live structural changes. Usually, you don't need to materialize the entire graph when you need to observe just some nodes. Additionally, you can halt computations at any point in... - Source: Hacker News / 5 days ago
Supposedly 70% of software projects failed even before AI. So are AI projects better or worse than that? Also like people have asked about the 70% failure rate, how do you define failure/success. https://medium.com/@trienpont/why-do-over-70-of-software-projects-fail-deb4f48f18e6. - Source: Hacker News / 7 days ago
Hey guys! GPU.ai is hosting a buildathon with free cloud GPUs on August 22nd 2026 -- register at gpu.ai/buildathon -- all projects will be open-sourced. Learn more: https://medium.com/@john_64490/gpu-ai-1-000-grand-prize-buildathon-on-august-22nd-2026-build-ai-apps-on-free-cloud-gpus-fe27ece9783c?sharedUserId=john_64490. - Source: Hacker News / 8 days ago
Back in the day I used the now-defunct site coin.fyi or coinexplorers.com to track my portfolio. When they disappeared, I looked at the alternatives โ and none of them adapted to my necessities. The main one: a private, encrypted portfolio management platform in the style of ProtonMail. One where the service provider itself cannot see what I hold. So I decided to create my own.... - Source: Hacker News / 9 days ago
Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: about 5 years ago
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
Labelbox - Build computer vision products for the real world
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
DEV.to - Where software engineers connect, build their resumes, and grow.
CloudFactory - Human-powered Data Processing for AI and Automation