RectLabel
An offline image annotation tool for object detection and segmentation.
To download RectLabel apps.
Post the problem to our Github issues.
Have questions? Send an email to support@rectlabel.com.
Thank you.
Load Core ML model
- Apple provides Core ML Models.
- To convert your ML model to the Core ML format, use coremltools.
- You can convert YOLOv5, YOLOv8, and MobileNetV2 + SSDLite models to Core ML models.
Clear Core ML model
Clear the loaded Core ML model to close the Confidence/Overlap threshold panel.
Auto labeling
Auto label images using the loaded Core ML model.
- You can change the confidence threshold.
- if the model does not include the non-maximum suppression, you can change the overlap threshold.
View menu.
- “Show labels on boxes” to show confidences on boxes.
Settings menus.
- “Skip backup dialog when overwrite” is to skip the backup dialog when overwrite.
- “Clear existing labels when auto label all images” is to clear existing labels when auto label all images.
- “Save confidence values when YOLO format” is to save confidence values when YOLO format.
Auto text recognition for lines and words
Using Vision Framework, automatic text recognition is performed.
- You can change the language.
- You can change the type to lines or words.