This tool allows you to check an image to determine if its content could be censored by automatic systems or lead to ban. This feature is useful since many social networks and websites perform...

2025年1月27日 · Image Analysis Toolset, offers many features to analyze pictures and detect images: Element Identifier: To identify elements of a picture and search info about them. It supports broad sets of...

2015年2月18日 · Motivated by the availability of images on the Internet, we introduced a web-based annotation tool that allows online users to label objects and their spatial extent in images.

2021年2月4日 · 推荐：Fast Image Data Annotation Tool（FIAT）——高效图像数据标注利器 去发现同类优质开源项目:https://gitcode.com/ 在计算机视觉领域，数据标注是模型训练的关键步骤，而FIAT是一个强大的开源工具，专为快速标注和处理图像数据而设计。

2015年2月18日 · Here we introduce a preliminary version of the image annotation tools developed at the Imaging and Vision Laboratory. Subjects: Computer Vision and Pattern Recognition (cs.CV)

iat-image¶. 这个插件的作用是进行内隐联想测验 (IAT)，刺激为图片。 参数¶. 除了适用于所有插件的参数，当前插件还接受以下参数。我们必须对默认值为 undefined 的参数进行赋值，而对于其他参数，如果不需要则不用进行赋值。

2015年2月18日 · Here we introduce a preliminary version of the image annotation tools developed at the Imaging and Vision Laboratory. 02/18/15 - The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval and computer vi...

This plugin runs a single trial of the implicit association test (IAT), using an image as the stimulus. In addition to the parameters available in all plugins, this plugin accepts the following parameters. Parameters with a default value of undefined must be specified. Other parameters can be left unspecified if the default value is acceptable.

Browser-based image editor for annotating several different structures on an image. Output is a PNG/SVG binary 2D segmentation mask. The output can be used for image segmentation task, such as machine learning semantic segmentation algorithms.

The IAT (Image Annotation Tool) provides a graphical user interface for annotating digital images, facilitating multimedia information retrieval and computer vision applications. It allows users to annotate regions on images using predefined shapes and a three-level taxonomy for labeling, supporting both single image and project-based annotations.