ResNet-50 Model Predictions on Beans Image Classification

Model predictions generated by AutoTrain for a multi-class image classification task on the beans dataset. The predictions were produced by the eugenecamus/resnet-50-base-beans-demo model. The dataset was last updated on June 28, 2022.

Use Cases

• Evaluate the performance of the eugenecamus/resnet-50-base-beans-demo 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

• Predictions are from a specific, named model (eugenecamus/resnet-50-base-beans-demo) for a defined task (multi-class image classification).
• The dataset is associated with a known evaluation platform (AutoTrain/Hugging Face).
• The last update date (2022-06-28) is provided.

Limitations

• The dataset's size, number of rows, and column structure are unknown, limiting analytical scope.
• The data is over two years old, which may not reflect the current performance of the model or evaluation methods.
• The specific contents of the predictions (e.g., confidence scores, labels) are not described.

Provenance

Source

AutoTrain (Hugging Face) automatic model evaluator.

Collection Method

Model predictions generated by AutoTrain for a specified model and dataset.

Freshness

Last updated on 2022-06-28.