This folder contains four Image Annotation Datasets (ESPGame, IAPR-TC12, ImageCLEF 2011, ImagCLEF 2012). Each dataset has sub-folders of training images, testing images, ground truth, labels. Moreover, labels are the limited number of labels the dataset could assign to an image. While the ground is the correct labeling for each image
We present a supervised multi-label classification method for automatic image annotation. Our method...
<p>Final number of images in the dataset for each category after collapsing the labels and relabelin...
This article investigates how to automatically complete the missing labels for the partially annotat...
Research in object detection and recognition in cluttered scenes requires large image collections wi...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
High-quality data is necessary for modern machine learning. However, the acquisition of such data is...
Image Label Wikification Collection (ILWC) is a test collection for evaluating systems that link des...
Central to the development of computer vision systems is the collection and use of annotated images ...
Abstract. Image and video annotations are challenging but important tasks to understand digital mult...
Automatic image annotation is the task of automatically assigning some form of semantic label to ima...
Image annotation tasks always lack accuracy and efficiency. Although many techniques that have been ...
Region Label Annotation is an approach to predict the relation between semantic concepts and objects...
This is the official data repository of the Data-Centric Image Classification (DCIC) Benchmark. The ...
Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO ...
We present a supervised multi-label classification method for automatic image annotation. Our method...
<p>Final number of images in the dataset for each category after collapsing the labels and relabelin...
This article investigates how to automatically complete the missing labels for the partially annotat...
Research in object detection and recognition in cluttered scenes requires large image collections wi...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
It is very attractive to exploit weakly-labeled image dataset for multi-label annotation application...
High-quality data is necessary for modern machine learning. However, the acquisition of such data is...
Image Label Wikification Collection (ILWC) is a test collection for evaluating systems that link des...
Central to the development of computer vision systems is the collection and use of annotated images ...
Abstract. Image and video annotations are challenging but important tasks to understand digital mult...
Automatic image annotation is the task of automatically assigning some form of semantic label to ima...
Image annotation tasks always lack accuracy and efficiency. Although many techniques that have been ...
Region Label Annotation is an approach to predict the relation between semantic concepts and objects...
This is the official data repository of the Data-Centric Image Classification (DCIC) Benchmark. The ...
Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO ...
We present a supervised multi-label classification method for automatic image annotation. Our method...
<p>Final number of images in the dataset for each category after collapsing the labels and relabelin...
This article investigates how to automatically complete the missing labels for the partially annotat...
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