宠物图片特征与受欢迎程度预测数据集
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宠物图片特征与受欢迎程度预测数据集_Pet_Image_Feature_and_Pawpularity_Prediction 数据来源：互联网公开数据 标签：宠物图像, 图像识别, 机器学习, 动物福利, 图像特征, 多模态数据, 图像分类, 宠物行为分析 数据概述： 该数据集包含宠物图像数据及其对应的元信息，旨在用于预测宠物图片的受欢迎程度。主要特征如下： 时间跨度：数据未明确标注时间，可视为一个静态的图像数据集。 地理范围：数据来源未明确，但可推测为全球范围内的宠物图像。 数据维度：数据集由两部分组成：一是宠物图像文件（.jpg格式），二是包含图像相关特征的CSV文件。CSV文件包含图像ID、主题焦点、眼睛、面部、近距离、动作、附件、群体、拼贴、人类、遮挡、信息、模糊度等多种图像特征，以及Pawpularity（受欢迎程度）评分。 数据格式：数据以.jpg图像文件和CSV文件（train.csv, train_crop.csv）的形式提供，便于图像处理和数据分析。图像文件存储在多个尺寸的文件夹中，方便不同分辨率的分析。数据已进行初步的特征提取和标注。 来源信息：数据来源于公开的图像数据集，可能经过了图像的预处理和特征提取。 该数据集适合用于图像分类、多模态数据分析、机器学习模型的训练和评估。 数据用途概述： 该数据集具有广泛的应用潜力，特别适用于以下场景： 研究与分析：适用于图像识别、计算机视觉和机器学习领域的学术研究，如图像特征提取、受欢迎程度预测、宠物行为分析等。 行业应用：可以为宠物行业提供数据支持，特别是在宠物产品营销、社交媒体内容推荐、宠物福利评估等方面。 决策支持：支持宠物行业相关机构和企业进行市场分析、用户行为预测和内容策略优化。 教育和培训：作为计算机视觉、机器学习等课程的实训素材，帮助学生和研究人员理解图像处理和模型构建。 此数据集特别适合用于探索图像特征与宠物受欢迎程度之间的关系，从而提升宠物相关内容推荐的准确性和个性化程度。
Pet Image Feature and Pawpularity Prediction Dataset Data Source: Publicly available data from the internet Tags: pet images, image recognition, machine learning, animal welfare, image features, multimodal data, image classification, pet behavior analysis Dataset Overview This dataset contains pet image data and its corresponding metadata, intended to support the prediction of pet image popularity. Key details are listed below: - Time Span: No explicit temporal annotation is provided for the dataset, which can be regarded as a static image collection. - Geographic Scope: The exact origin of the data is not specified, but the pet images are inferred to originate from a global scope. - Data Dimensions: The dataset consists of two parts: 1) Pet image files in .jpg format; 2) A CSV file containing image-related features. The CSV file includes multiple fields such as image ID, subject focus, eyes, face, close-up shot, action, accessories, group, collage, human presence, occlusion, contextual information, blurriness, and the Pawpularity (popularity) score. Data Format The dataset is provided in the form of .jpg image files and two CSV files (train.csv, train_crop.csv), which facilitate both image processing and data analysis. Image files are stored in folders organized by different resolutions to support analysis across multiple pixel dimensions. Preliminary feature extraction and annotation have been conducted on the dataset. Source Information The dataset is sourced from public image datasets, and may have undergone image preprocessing and feature extraction prior to distribution. This dataset is suitable for training and evaluating machine learning models for tasks including image classification, multimodal data analysis, and related research. Dataset Application Overview This dataset has broad application potential, and is particularly suitable for the following scenarios: 1. Research and Analysis: It is applicable to academic research in the fields of image recognition, computer vision and machine learning, such as image feature extraction, popularity prediction, and pet behavior analysis. 2. Industrial Applications: It can provide data support for the pet industry, especially in pet product marketing, social media content recommendation, and pet welfare assessment. 3. Decision Support: It supports relevant institutions and enterprises in the pet industry to carry out market analysis, user behavior prediction, and content strategy optimization. 4. Education and Training: As practical training materials for courses such as computer vision and machine learning, it helps students and researchers understand image processing and model construction. This dataset is particularly suitable for exploring the relationship between image features and pet popularity, so as to improve the accuracy and personalization of pet-related content recommendation.
