Food101 Model Predictions from AutoTrain Evaluator

Comprising model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is 'nateraw/food' on the Food101 dataset. The specific number of rows, columns, and file size are unknown.

Use Cases

• Analyze model prediction outputs for the 'nateraw/food' model on Food101 images.
• Compare AutoTrain evaluation results against other model benchmarks for image classification.
• Investigate potential error patterns in the evaluated model's predictions on food categories.

Strengths

• Predictions are from a specific, named model ('nateraw/food') evaluated on a known benchmark dataset (Food101).
• The dataset is associated with AutoTrain, a platform for automated model evaluation.

Limitations

• The dataset's structure, including column names and row count, is completely unknown, hindering direct analysis.
• The data is from a single evaluation run and may not represent the model's performance under different conditions.
• The dataset was last updated in June 2022, making the evaluation results potentially outdated for current model comparisons.

Provenance

Source

AutoTrain Evaluator on Hugging Face.

Collection Method

Model predictions generated by an automated evaluation job.

Freshness

Last updated on 2022-06-28.