Smita Mangesh Junnarkar

Evaluating Zero-Shot Object Detection for Fine-Grained Food Ingredient Recognition: A Precision-Recall Analysis

This paper evaluates how well a pretrained zero-shot object detector (OWLv2) recognizes food ingredients in photographs, and uses the results to build a recipe recommendation system based on an Indian recipe dataset of 5,938 recipes. Detection was tested against manually labeled...

Evaluating Zero-Shot Object Detection for Fine-Grained Food Ingredient Recognition: A Precision-Recall Analysis

This paper evaluates how well a pretrained zero-shot object detector (OWLv2) recognizes food ingredients in photographs, and uses the results to build a recipe recommendation system based on an Indian recipe dataset of 5,938 recipes. Detection was tested against manually labeled...