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

Tasks:
Image Classification
Modalities:
Image
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Processed data from AutoTrain data processor ([2023-11-02 15:35 ]

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Files changed (8) hide show
  1. README.md +53 -0
  2. processed/dataset_dict.json +1 -0
  3. processed/train/data-00000-of-00001.arrow +3 -0
  4. processed/train/dataset_info.json +145 -0
  5. processed/train/state.json +16 -0
  6. processed/valid/data-00000-of-00001.arrow +3 -0
  7. processed/valid/dataset_info.json +145 -0
  8. processed/valid/state.json +16 -0
README.md ADDED
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+ ---
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+ task_categories:
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+ - image-classification
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+
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+ ---
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+ # AutoTrain Dataset for project: logo-identifier-v3-medium
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+
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+ ## Dataset Description
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+
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+ This dataset has been automatically processed by AutoTrain for project logo-identifier-v3-medium.
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+
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+ ### Languages
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+
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+ The BCP-47 code for the dataset's language is unk.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from this dataset looks as follows:
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+
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+ ```json
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+ [
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+ {
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+ "image": "<100x72 RGB PIL image>",
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+ "target": 47
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+ },
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+ {
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+ "image": "<100x63 RGB PIL image>",
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+ "target": 82
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+ }
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+ ]
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+ ```
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+
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+ ### Dataset Fields
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+
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+ The dataset has the following fields (also called "features"):
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+
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+ ```json
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+ {
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+ "image": "Image(decode=True, id=None)",
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+ "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)"
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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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+ | Split name | Num samples |
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+ | ------------ | ------------------- |
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+ | train | 7024 |
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+ | valid | 1822 |
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+ "DunkinDonuts",
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+ "Dyson",
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+ "Ethereum",
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