PIPAL数据集是由香港中文大学（深圳）数据科学学院创建的一个大规模图像质量评估数据集，专注于感知图像恢复。该数据集包含29,000张图像，其中包括250张高质量参考图像，每张图像有116种不同的失真。PIPAL数据集特别之处在于包含了基于生成对抗网络（GAN）的方法的结果，这是以往数据集中所缺乏的。数据集通过使用更可靠的“Elo系统”收集了超过1.13百万的人类判断来分配主观分数。基于PIPAL

arXiv2020-09-26 更新250

Fm01 Dataset

交通监控

计算机视觉

Here are a few use cases for this project: 1. Traffic Monitoring and Management: Fm01 can be used to analyze traffic patterns in real-time, identify vehicle types (bike, car, Ltv, Auto) and their cou

universe.roboflow.com2022-04-05 更新80

Boggle Boards Object Detection Dataset

物体检测

增强现实

# Overview We have captured and annotated photos of the popular board game, Boggle. Images are predominantly from 4x4 Boggle with about 30 images from Big Boggle (5x5). - 357 images - 7110 annotated

public.roboflow.com2023-06-14 更新260

cola-fanta-sprite Dataset

计算机视觉

零售管理

Here are a few use cases for this project: 1. Retail Inventory Management: The model could be implemented in cameras scanning store shelves to detect real-time inventory levels of soda beverages Coca

universe.roboflow.com2023-02-28 更新90

TYPE 2-IQA - 2750A Dataset

资源简介：

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