FoodCam: A Real-Time Mobile Food Recognition System Employing Fisher Vector
نویسندگان
چکیده
In the demo, we demonstrate a mobile food recognition system with Fisher Vector and liner one-vs-rest SVMs which enable us to record our food habits easily. In the experiments with 100 kinds of food categories, we have achieved the 79.2% classification rate for the top 5 category candidates when the ground-truth bounding boxes are given. The prototype system is open to the public as an Android-based smart-
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