Model Predictions for Multi-Class Image Classification on Beans Dataset

Encompassing model predictions generated by AutoTrain for a multi-class image classification task on the beans dataset using the nateraw/vit-base-beans-demo-v3 model. The dataset was last updated on June 28, 2022. The number of rows, columns, and specific data fields are unknown.

Use Cases

• Evaluate the performance of the nateraw/vit-base-beans-demo-v3 model on the beans dataset for multi-class image classification.
• Analyze prediction outputs from an AutoTrain evaluation job to understand model behavior on image data.
• Use the generated predictions as a benchmark for comparing other image classification models on the beans task.

Strengths

• Data originates from a structured evaluation job by AutoTrain, a known platform.
• The dataset is associated with a specific model (nateraw/vit-base-beans-demo-v3) and task (multi-class image classification).
• The dataset was last updated on June 28, 2022, providing a timestamp for the evaluation.

Limitations

• The dataset's size, number of rows, and column structure are completely unknown, hindering usability.
• The specific prediction data, such as confidence scores or class labels, are not described.
• The dataset is from 2022 and may not reflect the current performance of the evaluated model.

Provenance

Source

AutoTrain Evaluator (Hugging Face).

Collection Method

Model predictions generated by AutoTrain for a specific evaluation job.

Freshness

Last updated on 2022-06-28.