The fastest way to tag images for object detection datasets
I built Annot8 because I thought current options for labeling object detection datasets were way too slow. With drag-and-drop uploads, hot-keys, instant export, it’s now much faster. If you're training vision models, I seriously think it'll save you time
Annot8 exports all annotations to clean CSV files with a single click, eliminating manual data formatting and enabling direct integration with object detection model training pipelines
The app provides a precision-focused, intuitive interface designed specifically for meticulous image marking, reducing the learning curve and annotation errors compared to generic image editors
The app supports batch processing of entire image folders with a flexible tagging system that adapts to project requirements, allowing users to apply consistent labels across hundreds of images in one workflow
Annot8 enables bulk image upload via drag-and-drop, customizable tagging, and direct CSV export optimized for ML pipelines, reducing manual data preparation time from hours to minutes