Hugging Face's logo

Datasets:
fsuarez
/
autotrain-data-logo_identifier_v5_short

Tasks:
Image Classification
Modalities:
Image
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Commit
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Processed data from AutoTrain data processor ([2023-11-07 20:09 ]

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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 +142 -0
  5. processed/train/state.json +16 -0
  6. processed/valid/data-00000-of-00001.arrow +3 -0
  7. processed/valid/dataset_info.json +142 -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_v5_short
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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_v5_short.
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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": "<86x100 RGB PIL image>",
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+ "target": 48
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+ },
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+ {
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+ "image": "<128x128 RGB PIL image>",
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+ "target": 36
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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', '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', 'Suning', 'Supreme', 'Suzuki', '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 | 6814 |
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+ | valid | 1768 |
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+ "3M",
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+ "7Eleven",
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+ "AmericanExpress",
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+ "Amul",
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+ "Anthem",
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+ "ApolloHospitals",
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+ "Apple",
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+ "Armani",
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+ "Asahi",
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+ "Atari",
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+ "Avon",
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+ "Booking",
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+ "British Airways",
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+ "Budweiser",
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+ "BuzzFeed",
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+ "Coleman",
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+ "Converse",
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+ "CornFlakes",
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+ "Corona",
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+ "CostcoWholesale",
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+ "Crayola",
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+ "Credit Agricole",
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+ "Crocs",
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+ "Crunchyroll",
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+ "Ctrip",
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+ "Dropbox",
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+ "Ducati",
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+ "DunkinDonuts",
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+ "Duracell",
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+ "Dyson",
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+ "Ethereum",
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+ "ExxonMobil",
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+ "FoxNews",
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+ "FreddieMac",
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+ "Fujitsu",
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+ "Goodyear",
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+ "Grubhub",
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+ "Gucci",
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+ "Huawei",
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+ "Hudson Bay Company",
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+ "HugoBoss",
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+ "Hulu",
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+ "Hyundai",
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+ "Instagram",
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+ "Intel",
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+ "John Lewis & Partners",
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+ "Johnson&Johnson",
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+ "Kingston",
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+ "LouisVuitton",
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+ "Lowes",
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+ "Lufthansa",
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+ "Lululemon",
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+ "Luxottica",
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+ "MorganStanley",
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+ "Motorola",
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+ "MountainDew",
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+ "Moutai",
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+ "Movistar",
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+ "Msci",
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+ "Muji",
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+ "Nike",
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+ "Nissan",
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+ "Nokia",
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+ "Nvidia",
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+ "Porsche",
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+ "Prada",
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+ "Qualcomm",
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+ "Rolls-Royce",
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+ "Spotify",
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+ "Sprite",
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