AutoTrain Model Predictions for Beans Image Classification

Comprising model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is nateraw/vit-base-beans, and the source dataset is 'beans'. The number of rows, columns, and sample data are unknown.

Use Cases

• Analyze the performance of the nateraw/vit-base-beans model on the beans dataset for multi-class image classification.
• Compare AutoTrain-generated predictions against ground truth labels from the original beans dataset to assess model accuracy.
• Use the evaluation results to benchmark other vision models on the same beans classification task.

Strengths

• Predictions are generated by AutoTrain, a dedicated model evaluation platform.
• The dataset is associated with a specific, named model (nateraw/vit-base-beans) and source dataset (beans).
• The data was last updated on 2022-06-28.

Limitations

• The dataset size, number of rows, columns, and sample data are unknown, limiting usability.
• The data is from 2022 and may not reflect the current performance of the evaluated model.
• Without access to the original beans dataset's ground truth, the predictions cannot be independently validated.

Provenance

Source

AutoTrain Evaluator (autoevaluate) on Hugging Face.

Collection Method

Model predictions generated by AutoTrain for evaluation.

Freshness

Last updated 2022-06-28.