Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.

Codebase for "On the relationship between calibrated predictors and unbiased volume estimation" (MICCAI 2021).

Source code of "Network-Wide Routing-Oblivious Heavy Hitters" paper by Ran Ben Basat, Gil Einziger, Shir Landau Feibish, Jalil Moraney, and Danny Raz (ACM/IEEE ANCS 2018).

Final year project which deals with object volume estimation from a single 2D image.

This is a comprehensive application that utilizes advanced machine learning models to estimate the volume of food from images, identify the type of food, and provide a detailed nutritional analysis.

Automatic Infrared-Based Volume and Mass Estimation System for Agricultural Products Along with Major Geometrical Properties

The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.

Byte-Mi is based on the Mask-RCNN model

Volume Approximation and Design Centering with Lp-Adaption

Zero-shot oil palm FFB mass estimation from Intel RealSense D455 recordings, with extremely sparse data (11 FFB .bag files) — temporal depth accumulation, adaptive foreground segmentation, and 2.5D grid volume integration. Matches manual CloudCompare accuracy (r² = 0.893 vs 0.900) with no annotation required.