RectLabel Pro 4+

Ryo Kawamura

    • 5,0 • 1 Bewertung
    • 22,99 €

Screenshots

Beschreibung

RectLabel is an offline image annotation tool for object detection and segmentation.

Key features:
Label polygons and pixels using Segment Anything models
Automatic labeling using Core ML models
Automatic text recognition for lines and words
Label cubic bezier curves, line segments, and points
Label oriented bounding boxes in aerial images
Label keypoints with a skeleton
Label pixels with brushes and superpixels
Settings for objects, attributes, hotkeys, and labeling fast
Search object, attribute, and image names in a gallery view
Export to COCO, Labelme, CreateML, YOLO, and DOTA formats
Export indexed color mask image and grayscale mask images
Video to image frames, augment images, etc.

How to use
https://rectlabel.com/help

Privacy policy
https://rectlabel.com/privacy

Terms of Use
https://rectlabel.com/terms

Post the problem to our Github issues page.
https://github.com/ryouchinsa/Rectlabel-support/issues

Have questions? Send an email to our support team.
support@rectlabel.com

Download our person dataset.
https://huggingface.co/datasets/rectlabel/datasets/resolve/main/person.zip

RectLabel Pro is for a long time use and different from the standard RectLabel for 2 points.
- The license can be bought by one-time payment. And the license corresponds to volume purchases.
- There are no network connections because there are no in-app purchases. To check the in-app purchases state, usually developers connect to their own server.

Neuheiten

Version 2024.06.07

- Improved "Resize images" feature so that it does not save empty xml files if there are no annotation files.
- Improved "Resize images" feature so that it remembers the resized size.
- Improved "Export COCO JSON file" feature so that when there are no annotations, "annotations" dictionary is not included. This is necesary for Detectron2 to evaluate the test dataset using inference_on_dataset funciton.
- Improved "Import COCO JSON file" feature so that when evaluating the test dataset on Detectron2 using inference_on_dataset function, the result COCO JSON file can be imported to RectLabel.

Bewertungen und Rezensionen

5,0 von 5
1 Bewertung

1 Bewertung

App-Datenschutz

Der Entwickler, Ryo Kawamura, hat darauf hingewiesen, dass die Datenschutzrichtlinien der App den unten stehenden Umgang mit Daten einschließen können. Weitere Informationen findest du in den Datenschutzrichtlinien des Entwicklers.

Keine Daten erfasst

Der Entwickler erfasst keine Daten von dieser App.

Die Datenschutzpraktiken können zum Beispiel je nach den von dir verwendeten Funktionen oder deinem Alter variieren. Weitere Infos

Support

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