If you need to implement RectLabel-like app in your system, please contact us. support@rectlabel.com

Joined March 2017
627 Photos and videos
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…
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RF-DETR to CoreML works with RF-DETR 1.7.1 with Ultralytics YOLO 26 like names export. github.com/ryouchinsa/rf-det…
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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…
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If you need to implement RectLabel-like app in your system, please contact us. support@rectlabel.com
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Towards Morphology Aware Stomata Keypoint Detection: Benchmarking Foundation Models Under Distribution Shift openaccess.thecvf.com/conten…
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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.
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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?
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When start SAM preprocessing, how to close the panel? For some users, it might be annoying.
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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…
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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.
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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…
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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…
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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…
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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…
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The new version 2026.03.22 was released.
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- 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.
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- "Create polygon using SAM3" feature corresponds to multiple text input such as "zebra,water,tree".
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- Show label names with colored text according to the object color.
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- Improved drawing speed of keypoint names, point indexes, and point coordinates.
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From Captive to Wild Jaguars: Automated Behavioral Classification and Space Use Monitoring with Machine Learning preprints.org/manuscript/202…
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