AutoTrain Model Predictions for Beans Image Classification

Aggregating model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is johnnydevriese/vit_beans, and the source dataset is beans. The row count, column count, and sample data are unknown.

Use Cases

• Analyze model prediction outputs from the johnnydevriese/vit_beans model on the beans dataset.
• Benchmark the performance of the vit_beans model on the multi-class image classification task.
• Use the AutoTrain-generated predictions for error analysis on the beans image dataset.

Strengths

• Data originates from a structured model evaluation by AutoTrain.
• The dataset is associated with a specific, named model (johnnydevriese/vit_beans) and source dataset (beans).
• The task is clearly defined as multi-class image classification.

Limitations

• The dataset size, number of rows, and available columns are unknown.
• The data is a derivative of model predictions, not raw source data.
• The last update was in June 2022, indicating potential staleness.

Provenance

Source

AutoTrain Evaluator on Hugging Face.

Collection Method

Model predictions generated by AutoTrain for evaluation.

Freshness

Last updated 2022-06-28.