AutoTrain Model Predictions for Bean Image Classification

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

Use Cases

• Analyze the performance of the karthiksv/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 the Vision Transformer (ViT) architecture on agricultural image data.

Strengths

• Predictions are from a specific, named model (karthiksv/vit-base-beans) evaluated on a known dataset (beans).
• The dataset is associated with the AutoTrain platform, which standardizes the evaluation process.
• The dataset card provides a clear task description (Multi-class Image Classification).

Limitations

• The dataset's size, number of rows, and column structure are completely unknown.
• The sample data and file formats are unavailable, hindering preliminary inspection.
• The data is from 2022 and may not reflect the current performance of the model or dataset.

Provenance

Source

AutoTrain Evaluator (autoevaluate) on Hugging Face.

Collection Method

Model predictions generated by the AutoTrain platform for an evaluation job.

Freshness

Last updated on 2022-06-28.