Headstart AI simplifies data labeling into three steps. Upload your dataset, our crowdsourced network annotates and verifies it, and you download ready-to-use training data.
Upload a folder and specify the labeling you need – bounding boxes or segmentation. Write a description that accurately describes which item you want to be annotated. Place an initial deposit per image to begin.
Your data is distributed to our global crowdsourced annotation network. Each file is labeled by trained annotators and passes through multiple checks for consistency. Our QA process ensures enterprise-grade reliability before delivery. After a few days you will receive an email when your folder has been completed.
You pay the remaining balance for the folder, and download your verified dataset in standard JSON Format. Every file has passed through our QA pipeline, so you can integrate directly into your AI models.