Datasets | File | Description | Download |
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NMNIST | Recording of the MNIST dataset displayed on a screen as viewed by a dynamic vision sensor moving through a fixed trajectory on a pan-tilt unit. Details are in the listed paper. |
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English Font-Number Recognition | In conclusion, character recognition, particularly in the realm of English font number recognition |
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Instagram Posts Dataset | Access a dataset of 1968 Instagram posts, totaling 5,426 images, for computer vision tasks. Each post includes images. |
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Railway Track fault Detection Resized (224 X 224) | In conclusion, Globose Technology Solutions specializes in Railway Track Fault Detection (Resized 224 x 224) |
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TextOCR – Text Extraction from Images Dataset | Text OCR (Optical Character Recognition) is a technology that enables the extraction of text content from images or scanned documents. To develop and train Text OCR systems, specialized datasets are created. These datasets play a crucial role in training, evaluating, and fine-tuning OCR models. |
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Body Size Recognition Dataset | Explore the Body Size Recognition dataset featuring photos and measurements of individuals, offering insights into physical appearances and body characteristics. |
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T-Shirts Dataset | Discover a rich and diverse T-Shirts dataset, sourced from online e-commerce sites. This dataset offers valuable insights into real-world data challenges, containing raw and unprocessed data. Explore its unique feature of multiple T-shirt views within single images, making it an excellent choice for data science projects. |
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manon_str_cleaned_dataset | Cultivate precision in waste classification with the Manon Str Cleaned Dataset. This meticulously curated resource features six waste categories, offering high-quality data and images manually collected for your AI projects. Elevate your AI endeavors today. |
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Car Images Dataset | Discover our meticulously curated car image dataset, categorized into seven classes representing different car makes and models. |
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Monkey Species Classification Dataset | Explore our monkey species classification dataset designed for BiT models, achieving 95% accuracy. Leverage advanced transfer learning. |
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