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I believe there might be a misunderstanding. There isn't a widely recognized dataset specifically named "Google1000." However, Google has made significant contributions to the machine learning community by releasing several large-scale datasets.
If you're looking for large-scale datasets for machine learning tasks, consider these options:
ImageNet: As mentioned, this dataset is invaluable for image-related tasks. Open Images: Another large-scale dataset with images annotated with bounding boxes, object classes, and image-level labels. Google Natural Language Understanding (NLU) Dataset: A collection of text and structured data for natural language processing tasks.
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I believe there might be a misunderstanding. There isn't a widely recognized dataset specifically named "Google1000." However, Google has made significant contributions to the machine learning community by releasing several large-scale datasets.
If you're looking for large-scale datasets for machine learning tasks, consider these options:
Deep Learning Projects for Final Year Students
ImageNet: As mentioned, this dataset is invaluable for image-related tasks.
Open Images: Another large-scale dataset with images annotated with bounding boxes, object classes, and image-level labels.
Google Natural Language Understanding (NLU) Dataset: A collection of text and structured data for natural language processing tasks.
Machine Learning Projects For Final Year
Google Cloud Public Datasets: A repository of various public datasets that can be accessed through Google BigQuery.
Big Data Projects For Final Year Students
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