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README.md
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# 📒 logo-identifier-model
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This model has been trained on a dataset called "LogoIdentifier" for multi-class classification of logos from
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# 🧪 Dataset Content
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- The dataset includes logos from various brands and companies.
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The model has been trained to recognize and classify logos into their respective brand categories based on the images provided in the dataset.
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| Company |
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| ----------------- |
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| Acer | 67
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| Acura | 74
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| Addidas | 90
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| Ades | 36
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| Adio | 63
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| Cadillac | 69
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| CalvinKlein | 65
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| Canon | 59
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| Cocacola | 40
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| CocaColaZero | 91
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| Coleman | 57
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| Converse | 60
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| CornFlakes | 62
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| DominossPizza | 99
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| Excel | 88
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| Gillette | 86
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| GMC | 75
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| Google | 93
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| HardRockCafe | 93
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| HBO | 103
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| Heineken | 84
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| HewlettPackard | 81
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| Hp | 87
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| Huawei | 84
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| Hyundai | 84
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| IBM | 84
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| Java | 62
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| KFC | 84
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| Kia | 76
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| Kingston | 79
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| Lenovo | 82
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| LG | 95
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| Lipton | 94
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| Mattel | 77
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| McDonalds | 98
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| MercedesBenz | 94
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| Motorola | 86
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| Nestle | 94
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| Nickelodeon | 74
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| Nike | 50
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| Pennzoil | 82
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| Pepsi | 93
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| Peugeot | 60
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| Porsche | 71
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| Samsung | 96
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| SchneiderElectric | 42
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| Shell | 58
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To use this model for brand logo identification, you can make use of the Hugging Face Transformers library and load the model using its model ID (90194144191). You can then input an image of a brand logo, and the model should be able to predict the brand it belongs to based on its training.
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# 📒 logo-identifier-model
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This model has been trained on a dataset called "LogoIdentifier" for multi-class classification of logos from 57 renowned brands and companies. These brands encompass a wide spectrum of industries and recognition, ranging from global giants like Coca-Cola, Coleman, Google, IBM, Nike, Pepsi, and many others. Each brand is thoughtfully organized into its designated subfolder, housing a comprehensive set of logo images for precise and accurate classification. Whether you're identifying iconic logos or exploring the branding diversity of these 57 famous names, this model is your go-to solution for logo recognition and classification.
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# 🧪 Dataset Content
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- The dataset includes logos from various brands and companies.
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The model has been trained to recognize and classify logos into their respective brand categories based on the images provided in the dataset.
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| Company | Quantity of images |
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| ----------------- | ------------------ |
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| Acer | 67 |
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| Acura | 74 |
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| Addidas | 90 |
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| Ades | 36 |
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| Adio | 63 |
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| Cadillac | 69 |
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| CalvinKlein | 65 |
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| Canon | 59 |
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| Cocacola | 40 |
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| CocaColaZero | 91 |
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| Coleman | 57 |
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| Converse | 60 |
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| CornFlakes | 62 |
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| DominossPizza | 99 |
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| Excel | 88 |
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| Gillette | 86 |
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| GMC | 75 |
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| Google | 93 |
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| HardRockCafe | 93 |
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| HBO | 103 |
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| Heineken | 84 |
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| HewlettPackard | 81 |
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| Hp | 87 |
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| Huawei | 84 |
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| Hyundai | 84 |
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| IBM | 84 |
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| Java | 62 |
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| KFC | 84 |
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| Kia | 76 |
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| Kingston | 79 |
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| Lenovo | 82 |
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| LG | 95 |
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| Lipton | 94 |
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| Mattel | 77 |
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| McDonalds | 98 |
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| MercedesBenz | 94 |
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| 69 |
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| Motorola | 86 |
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| Nestle | 94 |
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| Nickelodeon | 74 |
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| Nike | 50 |
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| Pennzoil | 82 |
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| Pepsi | 93 |
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| Peugeot | 60 |
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| 76 |
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| Porsche | 71 |
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| Samsung | 96 |
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| SchneiderElectric | 42 |
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| 79 |
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| Shell | 58 |
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To use this model for brand logo identification, you can make use of the Hugging Face Transformers library and load the model using its model ID (90194144191). You can then input an image of a brand logo, and the model should be able to predict the brand it belongs to based on its training.
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