Keylabs vs YoloLabel
Keylabs
keylabs.aiYoloLabel
github.comSide by side
| Figure | Keylabs | YoloLabel |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 0 |
| Spec score · AI Image Annotation Tools | 8.1 (#8) | 7.2 (#21) |
| Support | The pricing page lists customer support hours per month as a plan feature but does not show the hour amounts in its text. | The cloud service lists [email protected] as its contact email for questions about its terms and privacy policy. |
Plans
Keylabs
- Startup$1, paid once
- Pro$2.10, paid once
- Business$2.30, paid once
- EnterprisePriced on request
In their own words
YoloLabel
YoloLabel is a free GUI for drawing object bounding boxes on images used to train YOLO neural networks. It loads JPG or PNG files from a directory and creates boxes with a two-click method. Labels can be moved, resized, copied, pasted, undone, and redone, then exported as YOLO TXT. The desktop app has downloads for Windows x64, Linux x64, and macOS on Apple Silicon, and its repository uses the MIT License. Local assisted labeling runs Ultralytics models exported to ONNX, including YOLOv5, YOLOv8, YOLO11, YOLO12, and YOLOv26, with single-image or dataset batch processing. YoloLabel AI adds cloud open-vocabulary detection through an API key and optional prompt; requests handle up to 20 images. Building from source uses Qt 6, while ONNX Runtime is optional unless local auto-labeling is required.