Stanford Cars (cars196) contains many Fine-Grained Errors

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Machine Learning Benchmarking Datasets label-errors

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  • label-errors

    🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet

    • I found these issues to be pretty interesting, yet I wasn't surprised. It's pretty well known that many common ML datasets exhibit thousands of errors.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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