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Description
Fotoxx is a versatile and free open-source application designed for Linux, specifically aimed at image editing and managing collections of photographs. It strives to cater to the requirements of dedicated photographers while ensuring a user-friendly and efficient experience. Users can easily explore extensive image libraries through a thumbnail viewer and select any image for editing or viewing. The program boasts a comprehensive suite of editing and retouching tools. It allows for the import of RAW files and the capability to edit images with extensive color depth. Users can save edited files in various formats, including JPEG, PNG (8 or 16 bits per color), and TIFF (8 or 16 bits). Within an image, users can select specific objects or areas using methods like freehand drawing, edge following, or tone matching, and then apply various editing functions such as resizing, blending, and warping without the need for layers. The editing process provides rapid feedback, allowing for a seamless experience with the entire image. Additionally, users can modify image metadata, including tags, geotags, dates, ratings, and captions. The program also features a powerful search function, enabling users to find images based on any combination of metadata, file names, or partial names, and offers the ability to click on a marker on a scalable world map to view all photographs taken at that specific location, enhancing the user's interaction with their collection. Overall, Fotoxx is a comprehensive tool that combines robust functionality with accessibility for photographers.
Description
An offline tool designed for image annotation facilitates both object detection and segmentation tasks. Users can create shapes like polygons, cubic bezier curves, line segments, and individual points for precise labeling. It allows for the drawing of oriented bounding boxes specifically tailored for aerial imagery. The tool also features the ability to mark key points that can be connected by skeletons, as well as the capacity to color pixels using brushes or superpixels. It supports reading and writing in PASCAL VOC XML and YOLO text formats, ensuring compatibility with various machine learning formats. In addition, users can export their work to CreateML for object detection and image classification, as well as to COCO, Labelme, YOLO, DOTA, and CSV formats. The tool also provides options to export indexed color mask images and grayscale mask images to suit different project needs. Users can easily adjust settings related to objects, attributes, hotkeys, and fast labeling for improved efficiency. The label dialog is customizable, allowing for a seamless combination with attributes, and one-click buttons expedite the process of selecting object names. With an impressive auto-suggest feature that considers over 5000 object names, searching for objects, attributes, and image names can be done in a gallery view for convenience. Automatic labeling capabilities are powered by Core ML models, and the tool includes automatic text recognition through OCR technology. Additionally, it has functionalities to convert videos into image frames and perform image augmentation. Language support extends to English, Chinese, Korean, and 11 other languages, making it accessible to a diverse user base while enhancing productivity across different regions. This comprehensive feature set emp
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fotoxx
Website
kornelix.net/fotoxx/fotoxx.html
Vendor Details
Company Name
RectLabel
Country
United States
Website
rectlabel.com
