The copy‑paste hotkey workflow achieved a 90% reduction in labeling time compared with drawing each box from scratch.
On 2025-10-01 I announced the “Track Everything in One Shot” feature for Labellerr AI, letting annotators label an entire video with a single click per object.
The new workflow is 5× faster labeling for annotation teams.
It reduces compute costs by running only one GPU job instead of many.
Feature name: Frame‑by‑Frame Precision for video annotation.
We just shipped Frame‑by‑Frame Precision for video annotation on Labellerr AI, giving frame‑accurate playback, eliminating annotation drift, and producing cleaner training data.
To reduce tedious video labeling, I added a One‑Click Object Tracking feature to Labellerr.
Labellerr AI now includes a Similarity Search Labeling feature that lets me label one exemplar, press ‘I’, and propagate the label to every matching object with a single click.
The One‑Click Object Segmentation feature generates a pixel‑perfect mask around any object with one click, eliminating manual point‑by‑point tracing.
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Manually labeling video frames is one of those tasks that tests your patience really fast, Isnt it?
Now you just label the object on the very first frame, and the tool tracks it across the rest of the clip automatically.