RectLabel Pro 4+
Ryo Kawamura
-
- S/ 79.90
Capturas de pantalla
Descripción
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.
Novedades
Versión 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.
Privacidad de la app
El desarrollador (Ryo Kawamura) indicó que, entre las prácticas de privacidad de la app, pueden incluirse el manejo de datos que se describe a continuación. Para obtener detalles, consulta la política de privacidad del desarrollador.
No se recopilan datos
El desarrollador no recopila ningún dato en esta app.
Las prácticas de privacidad pueden variar; por ejemplo, según tu edad o las funciones que uses. Obtén detalles
Información
- Vendedor
- Ryo Kawamura
- Tamaño
- 33 MB
- Categoría
- Para desarrolladores
- Compatibilidad
-
- Mac
- Requiere macOS 10.13 o posterior.
- Idiomas
-
Chino simplificado, Chino tradicional, Inglés, Japonés
- Edad
- 4+
- Copyright
- © 2017-2024 RectLabel
- Precio
- S/ 79.90
Compatibilidad
-
Compartir en familia
Hasta seis miembros de la familia pueden usar esta app con la opción Compartir en familia activada.