AutoTrain Model Predictions for Dog Food Image Classification

Featuring model predictions from the AutoTrain evaluator for a multi-class image classification task. The evaluated model is douwekiela/resnet-18-finetuned-dogfood, and the source dataset is lewtun/dog_food. The data was last updated on June 27, 2022.

Use Cases

• Analyze model prediction performance on the lewtun/dog_food dataset for multi-class image classification.
• Compare the outputs of the douwekiela/resnet-18-finetuned-dogfood model against ground truth labels from the source dataset.
• Use the evaluation results to benchmark other image classification models on the same dog_food task.

Strengths

• Data originates from a structured model evaluation task on the Hugging Face platform.
• The dataset is associated with a specific, named model and source dataset, providing clear context.

Limitations

• Essential metadata such as row count, column names, and file size are unknown.
• The data is over two years old, which may limit its relevance for current model benchmarking.
• Without column definitions or sample data, the structure and content of the predictions are unclear.

Provenance

Source

Hugging Face AutoTrain Evaluator

Collection Method

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

Freshness

Last updated on 2022-06-27.