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Underwater image sharpening and color correction via dataset based on revised underwater image formation model
Underwater images bring about substantial information to many tasks regarding marine science or coastal engineering. Meanwhile, enhancement of...
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A novel highland and freshwater-circumstance dataset: advancing underwater image enhancement
As an important underlying visual processing task, underwater image enhancement techniques have received a lot of attention from researchers due to...
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Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset
Splice detection models are the need of the hour since splice manipulations can be used to mislead, spread rumors and create disharmony in society....
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Multi-dataset learning with channel modulation loss for blind image quality assessment
In Blind Image Quality Assessment (BIQA), due to the problem of laborious labeling, it is perceived as the intractability of collecting a new...
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SAWIT: A small-sized animal wild image dataset with annotations
Computer vision has found many applications in automatic wildlife data analytics and biodiversity monitoring. Automating tasks like animal...
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The image and ground truth dataset of Mongolian movable-type newspapers for text recognition
OCR approaches have been widely advanced in recent years thanks to the resurgence of deep learning. However, to the best of our knowledge, there is...
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iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique
Unstructured Numerical Image Dataset Separation (UNIDS) method employing an enhanced unsupervised clustering technique. The objective is to delineate...
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A novel image dataset for source camera identification and image based recognition systems
Multimodal emotion recognition has attracted a great deal of attention in recent years, with new interesting applications now being considered. One...
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An augmented mammogram image dataset and its performance analysis for various classification models
For a pattern classification problem, dataset size plays a vital role in the training and testing of the used classifier. With a smaller dataset, the...
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IRUVD: a new still-image based dataset for automatic vehicle detection
One of the difficult tasks in the field of computer vision is the classification and detection of vehicles. Researchers from all over the world are...
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JUIVCDv1: development of a still-image based dataset for indian vehicle classification
An automatic vehicle classification (AVC) system designed from either still images or videos has the potential to bring significant benefits to the...
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Integrated Dataset-Preparation System for ML-Based Medical Image Diagnosis with High Clinical Applicability in Various Modalities and Diagnoses
This study proposed an integrated dataset-preparation system for ML-based medical image diagnosis, offering high clinical applicability in various...
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Dataset and semantic based-approach for image sonification
This paper presents an image-audio dataset and a mid-level image sonification system that strives to help visually impaired users understand the...
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Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwar**
Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store...
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MEDIC: a multi-task learning dataset for disaster image classification
Recent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering...
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Prompt Me a Dataset: An Investigation of Text-Image Prompting for Historical Image Dataset Creation Using Foundation Models
In this paper, we present a pipeline for image extraction from historical documents using foundation models, and evaluate text-image prompts and... -
STRAMPN: Histopathological image dataset for ovarian cancer detection incorporating AI-based methods
Ovarian cancer, characterized by uncontrolled cell growth in the ovaries, poses a significant threat to women’s reproductive health. Often referred...
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An ultra-specific image dataset for automated insect identification
Automated identification of insects is a tough task where many challenges like data limitation, imbalanced data count, and background noise needs to...
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The MAMe dataset: on the relevance of high resolution and variable shape image properties
The mostcommon approach in image classification tasks is to resize all images in the dataset to a unique shape, while reducing their resolution to a...
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Leveraging automatic personalised nutrition: food image recognition benchmark and dataset based on nutrition taxonomy
Maintaining a healthy lifestyle has become increasingly challenging in today’s sedentary society marked by poor eating habits. To address this issue,...