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Datasets | File | Description | Download |
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Fruits Dataset for Classification | Fruits Dataset for Classification Fruits Dataset for Classification Datasets Fruits Dataset for Classification File Fruits Dataset for Classification Use Case […] |
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Columbia Object Image Library (COIL-100) Dataset | At Globose Technology Solutions, we’re using the COIL-100 Dataset to improve object recognition solutions. Our advanced algorithms are making a difference in areas like industrial automation and security systems. |
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Fer2013 (FaceExpressRecognition2013) in array | If you’re into AI and data science, you’ll definitely want to get the Fer2013 dataset. It’s a fantastic resource for exploring human emotions and improving your AI projects. |
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Indian vehicle number plate yolo annotation | Indian vehicle number plate yolo annotation Indian vehicle number plate yolo annotation Datasets Indian vehicle number plate yolo annotation File […] |
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Electron Microscopy Particle Segmentation | At Globose Technology Solutions, we’re really good at segmenting particles in electron microscope images. We use smart computer programs to do it accurately and quickly. |
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Stanford Background Dataset | Great datasets are crucial for advancing AI. The Stanford Background Dataset is our contribution to supporting the AI community |
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BDD100K Period Classification | BDD100K Period Classification BDD100K Period Classification Datasets BDD100K Period Classification File BDD100K Period Classification Use Case Computer Vision Description The […] |
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Exploring Emotion Recognition With The FER2013 Dataset | Exploring Emotion Recognition with the FER2013 Dataset Exploring Emotion Recognition with the FER2013 Dataset Datasets Exploring Emotion Recognition with the […] |
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nuScenes fog augmented samples for bad weather pre | We’re dedicated to pushing the limits of AI data collection and research, making progress in self-driving car technology available to everyone. |
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dogs vs cats | “Dogs vs. Cats” is a common binary classification task in the field of computer vision and machine learning. It involves distinguishing between images of dogs and images of cats. This task is often used for educational purposes and as a starting point for beginners in machine learning and deep learning. |
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Explore our extensive collection of new off-the-shelf datasets covering all data types – text, audio, image, and video. Reach out to us now for more information.

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