Mango_deep_yield_dataset koirala et al. 2021

Koirala, A.; Walsh, K.B.; Wang, Z. Attempting to Estimate the Unseen – Correction for Occluded Fruit in Tree Fruit Load Estimation by Machine Vision with Deep Learning.

This dataset contains dual-view images (image from two opposite sides (sideA and sideB) of a tree) used in the paper "Attempting to estimate the unseen - correction for occluded fruit in tree fruit load estimation by machine vision with deep learning".

There are three orchards A, B and C with images of same trees from two seasons (2017 and 2018).

For each season ABC is the collection of images from orchards A, B and C put together.

A-x, B-x and C-x comprise of extended set of images collected in season 2017.

A= 17 trees

B= 6 trees

C= 12 trees

ABC= 35 trees

A-x= 44 trees

B-x= 19 trees

C-x= 35 trees

ABC-x = 98 trees

harvest_data_deep_yield.xlsx file contains the harvest fruit count mapped with the tree and image names for each orchard.