Data Labeling Platform - Manage your computer vision data labeling

@bdzhel great question! This is our plan for 2025. The ability to fine-tune and customize your LLMs, as well as integrate the labeling workflow directly into your ML Ops platform, is what we will be rolling out next.

@karyna_naminas1 I feel like LLM annotation will be the big thing. Hope you guys release it soon :D

@samalyx Thanks for the support 🤗 In my opinion, the "killer feature" of our platform is its low entry cost. You can start using it regardless of your dataset's size, with just $100 in your pocket. This makes it super accessible for small AI startups, individual ML engineers, and anyone looking to get high-quality annotations without a big upfront investment. Plus, the seamless workflow for uploading datasets, tracking progress, and collaborating with annotators all in one interface 🚀

@ihuzaifashoukat Thanks for your support 🤗 Getting started with labeling on our platform is super simple: 1️⃣ Set Your Labeling Requirements: Define the labels or annotation guidelines you'd like our annotators to follow. 2️⃣ Upload Your Dataset: Just drag and drop your files. 3️⃣ Review free sample results for up to 10 images 4️⃣ Launch Your Project: With as little as $100, you can start the labeling process right away. 5️⃣ Track Progress in Real-Time 6️⃣ Review and Export: Once completed, review the annotations, provide feedback if needed, and export the labeled dataset in your preferred format.