A bounding box that’s "almost right" is still wrong. 🔁
LightlyStudio’s QA tools let you catch and fix the near-misses before they corrupt your ground truth.
Better labels → Better models. Always.
A biologist can spend 10 mins counting elk in a single aerial image. Colorado alone has captured more than 100,000 of them. 🦌
Vale Vision trained a model with LightlyTrain that automates the process making it way faster.
Hear it from Vale Vision cofounder Joseph Porter. 🎥👇
Vale Vision is building AI for wildlife conservation. 🦌
With fewer than 100,000 images, they fine tuned DINOv3 backbones using LightlyTrain and outperformed Microsoft's MegaDetector on their own benchmarks.
Read the case study: eu1.hubs.ly/H0wB90K0
YOLO has been the default for real-time object detection for years but as tasks get harder, limits start to show.
Transformer based detectors address them and that is exactly why we integrated this approach into LightlyTrain.
See in the full guide here:
eu1.hubs.ly/H0wzLdk0