Model Predictions for Food101 Image Classification

Aggregating model predictions generated by AutoTrain for a multi-class image classification task on the Food101 dataset. The evaluated model is aspis/swin-finetuned-food101. The specific number of rows, columns, and data size are unknown.

Use Cases

• Compare model predictions against Food101 ground truth labels to assess classification accuracy.
• Analyze prediction patterns for the aspis/swin-finetuned-food101 model on food image data.
• Use as a benchmark result for new model evaluations on the Food101 classification task.

Strengths

• Predictions are from a specific, named model (aspis/swin-finetuned-food101).
• Task and source dataset (Food101) are clearly defined.
• Data was last updated in June 2022.

Limitations

• The dataset size, row count, and column structure are unknown.
• Data is from 2022 and may not reflect the current performance of the model.
• Without sample data or columns, the specific prediction format and confidence scores are unclear.

Provenance

Source

AutoTrain Evaluator (Hugging Face)

Collection Method

Automated model evaluation predictions generated by AutoTrain.

Freshness

2022-06-28