Model Predictions for CIFAR-10 Image Classification

A collection of model predictions generated by AutoTrain for a multi-class image classification task on the CIFAR-10 dataset using the jadohu/BEiT-finetuned model. The dataset was last updated on June 28, 2022. The specific number of rows, columns, and file size are unknown.

Use Cases

• Analyze prediction confidence scores for CIFAR-10 image classes to assess model calibration.
• Compare predicted labels against ground truth to compute task-specific evaluation metrics.
• Use the model's output logits for error analysis on specific CIFAR-10 categories.

Strengths

• Predictions are from a specific, named model (jadohu/BEiT-finetuned) evaluated on a standard benchmark dataset (CIFAR-10).
• The dataset is associated with the AutoTrain platform, which provides automated model evaluation workflows.
• The dataset card provides a clear timestamp for the last update (2022-06-28).

Limitations

• The dataset's structure is undefined, with unknown columns, row count, and file format.
• The data is a derived product (model predictions) and does not contain the original CIFAR-10 images or labels.
• The dataset's recency is limited, with no updates since mid-2022.

Provenance

Source

AutoTrain (autoevaluate) on Hugging Face.

Collection Method

Model predictions generated by the AutoTrain evaluator for a specific model and dataset.

Freshness

Last updated on 2022-06-28.