Labelme
6.4#13 in image annotation software$49 one-timeLinuxmacOSWindows
VisitLabelme vs MakeSense.ai
MakeSense.ai
7.6#4 in image annotation softwareFree planFree planWebLinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | Labelme | MakeSense.ai |
|---|---|---|
| AI models | It supports SAM, SAM2, SAM3, EfficientSAM, and YOLO-World, which run locally rather than through a hosted API. | Its listed AI integrations include YOLOv5, SSD pretrained on COCO, and PoseNet. |
| Founded | 2016 | 2019 |
| Notable limits | The three-day trial excludes the Pro dataset toolkit, Starter cannot be upgraded to Pro at a discount, and Pro toolkit tools require Python. | Its format matrix marks some annotation and import/export combinations as not yet supported. |
| Privacy | The maker says images, annotations, and exports remain on the user's machine, with no cloud processing or telemetry; model weights download on first use. | The project says images are not stored because they are not sent to a server. |
Labelme plans
- Starter$49, paid once
- Pro$79, paid once
- Pro (Lifetime)$249, paid once
MakeSense.ai plans
- FreeFree
Pick Labelme if…
Labelme suits researchers, engineers, and teams creating image datasets who want local model-assisted annotation. Its Pro toolkit may suit users needing batch processing, dataset statistics, export, or command-line automation.
Pick MakeSense.ai if…
MakeSense.ai suits people preparing labeled datasets for small computer vision projects. It may also fit users who want browser-based annotation and local or Docker setup options.