AutoTrain Model Predictions for CIFAR-10 Image Classification

A collection of model predictions generated by the AutoTrain evaluator for a multi-class image classification task on the CIFAR-10 dataset. The predictions were produced by the model 'abhishek/autotrain_cifar10_vit_base'. The dataset was last updated on June 28, 2022.

Use Cases

• Analyze the performance of the 'abhishek/autotrain_cifar10_vit_base' model on the CIFAR-10 classification task.
• Compare AutoTrain-generated predictions against ground truth labels from the CIFAR-10 dataset.
• Use the model predictions as a benchmark for evaluating other image classification models on the CIFAR-10 task.

Strengths

• Predictions are from a specific, named model ('abhishek/autotrain_cifar10_vit_base') for a well-known benchmark dataset (CIFAR-10).
• The dataset is associated with the AutoTrain platform, a tool for automated model evaluation.

Limitations

• The dataset size, row count, column names, and sample data are unknown, limiting analytical utility.
• The data is from June 2022 and may not reflect the current performance of the evaluated model.
• The license and detailed provenance of the predictions are unspecified.

Provenance

Source

Hugging Face AutoTrain Evaluator.

Collection Method

Model predictions generated by the AutoTrain platform for a specific evaluation job.

Freshness

Last updated on 2022-06-28.