Updated to RF-DETR 1.7. How to Train a RF-DETR Instance Segmentation Model with Custom Data rectlabel.com/rfdetr_segment… Goolge Colab colab.research.google.com/gi…

RF-DETR to CoreML works with RF-DETR 1.7.1 with Ultralytics YOLO 26 like names export. github.com/ryouchinsa/rf-det…

Updated to RF-DETR 1.7. How to Train a RF-DETR Object Detection Model with Custom Data rectlabel.com/rfdetr_detecti… Google Colab. colab.research.google.com/gi…

If you need to implement RectLabel-like app in your system, please contact us. [email protected]

Annotations were labeled in RectLabel Pro on Arabidopsis images: the bounding box tightly encloses both guard cells, the mask traces the outer stomata boundary, and keypoints define two biological axes.

Towards Morphology Aware Stomata Keypoint Detection: Benchmarking Foundation Models Under Distribution Shift openaccess.thecvf.com/conten…

Run the SAM3 Tracker model faster on macOS devices using MLX. github.com/ryouchinsa/sam3-t… We improved the MLX-VLM by @Prince_Canuma so that point, box, and mask input prompts work correctly. If you have Apple M2 - M5 devices, could you tell us the processing time on your device?

When start SAM preprocessing, how to close the panel? For some users, it might be annoying.

RF-DETR to CoreML is a helpful repository when you convert RF-DETR PyTorch models to Core ML models for iOS and macOS. github.com/landchenxuan/rf-d…

The new version 2026.04.02 was released. - Corresponded to RF-DETR Core ML models. - Exported split folders became train/valid/test. - Exported COCO file name became _annotations.coco.json. - Added "Convert pixels mask to polygon" option when exporting a COCO file.

We will show you how to train a RF-DETR instance segmentation model with your images and annotations and export to a Core ML model which can be used for auto labeling on RectLabel. rectlabel.com/rfdetr_segment…

We will show you how to train a RF-DETR instance segmentation model with your images and annotations and export to a Core ML model which can be used for auto labeling on RectLabel. colab.research.google.com/gi…

We will show you how to train a RF-DETR object detection model with your images and annotations and export to a Core ML model which can be used for auto labeling on RectLabel. rectlabel.com/rfdetr_detecti…

We will show you how to train a RF-DETR object detection model with your images and annotations and export to a Core ML model which can be used for auto labeling on RectLabel. colab.research.google.com/gi…

The new version 2026.03.22 was released.

- When "Delete this point" for a keypoints object, RectLabel makes a backup of all annotations, deletes the point from the skeleton, and deletes the point from all keypoints objects in annotation folders.

- "Create polygon using SAM3" feature corresponds to multiple text input such as "zebra,water,tree".

- Show label names with colored text according to the object color.

- Improved drawing speed of keypoint names, point indexes, and point coordinates.

From Captive to Wild Jaguars: Automated Behavioral Classification and Space Use Monitoring with Machine Learning preprints.org/manuscript/202…