fsuarez/autotrain-data-logo-identifier-v3-medium

该数据集是AutoTrain为项目logo-identifier-v3-medium自动处理的数据集，主要用于图像分类任务。数据集包含多个品牌的标志图像，每个图像对应一个目标类别标签。数据集被分为训练集和验证集，分别包含7024和1822个样本。

原始信息汇总

AutoTrain Dataset for project: logo-identifier-v3-medium

数据集描述

该数据集由AutoTrain自动处理，用于项目logo-identifier-v3-medium。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下所示：

json [ { "image": "<100x72 RGB PIL image>", "target": 47 }, { "image": "<100x63 RGB PIL image>", "target": 82 } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=[20thTelevision, 3M, 7Eleven, Acer, AmericanExpress, Amul, Anthem, ApolloHospitals, Apple, Armani, Asahi, Asus, Atari, Audi, Avon, Booking, Bosch, Bridgestone, British Airways, Budweiser, Burberry, BurgerKing, BuzzFeed, Canon, CocaColaZero, Coleman, Coles, Converse, CornFlakes, Corona, CostcoWholesale, Crayola, Credit Agricole, Crocs, Crunchyroll, Ctrip, Dropbox, Ducati, DunkinDonuts, Duracell, Dyson, Ethereum, Etsy, ExxonMobil, FoxNews, FreddieMac, Fujitsu, Goodyear, Grubhub, Gucci, Huawei, Hudson Bay Company, HugoBoss, Hulu, Hyundai, Instagram, Intel, John Lewis & Partners, Johnson&Johnson, Kingston, LouisVuitton, Lowes, Lufthansa, Lululemon, Luxottica, MorganStanley, Motorola, MountainDew, Moutai, Movistar, Msci, Muji, Nike, Nissan, Nokia, Nvidia, Orange, Oreo, Porsche, Power China, Prada, Pringles, Publix, Puma, Purina, PwC, Qualcomm, Rolex, Rolls-Royce, RoyalCaribbean, Spotify, Sprite, Starbucks, StateBankofIndia, StateGrid, Subaru, Subway, SumitomoGroup, Suning, Supreme, Suzuki, Toshiba, Total SA, TotalEnergies, Toyota, TripAdvisor, Twitch, Twitter, UnitedHealthCare, Universal, Volkswagen, Volvo, Wikipedia, Wipro, Wuliangye, Xiaomi, Youtube, Zoom, hennessy, iHeartRadio, koolAid], id=None)" }

数据集分割

该数据集被分割为训练集和验证集。分割大小如下：

分割名称	样本数量
train	7024
valid	1822