AutoTrain Model Predictions for Multi-class Image Classification

Featuring model predictions generated by AutoTrain for a multi-class image classification task using the model 'saharsha/vit-base-beans' on the 'beans' dataset. The data was last updated on June 28, 2022.

Use Cases

• Analyze model prediction patterns for the 'beans' dataset classification task.
• Benchmark the performance of the 'saharsha/vit-base-beans' model against other image classifiers.
• Use the AutoTrain-generated predictions as a baseline for evaluating new image classification models.

Strengths

• Data originates from a structured AutoTrain evaluation job for a defined image classification task.
• Includes metadata tags specifying the modality (image) and associated libraries (polars, pandas, datasets).

Limitations

• The dataset size, row count, column names, and sample data are unknown, limiting analytical utility.
• The data is from mid-2022 and may not reflect the current performance of the evaluated model.

Provenance

Source

AutoTrain Evaluator on Hugging Face.

Collection Method

Model predictions generated by the AutoTrain platform for evaluation.

Freshness

Last updated on 2022-06-28.