2026-10-15T07:51:46Z https://api.figshare.com/v2/oai

oai:figshare.com:article/14033993 2021-02-15T05:46:13Z category_28879 category_28822 category_28864 portal_923 item_type_3 month_year_02_2021

Mango_deep_yield_dataset koirala et al. 2021 Anand Koirala (9811085) Zhenglin Wang (9843413) Kerry Walsh (9843221) Computer vision Applied computing not elsewhere classified Artificial intelligence not elsewhere classified mango fruits Mango fruit yield image processing applications deep learning dataset Deep Learning Applications computer vision technique Computer Vision Applied Computer Science Artificial Intelligence and Image Processing <div>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.</div><div><br></div><div>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".</div><div>There are three orchards A, B and C with images of same trees from two seasons (2017 and 2018). </div><div>For each season ABC is the collection of images from orchards A, B and C put together.</div><div>A-x, B-x and C-x comprise of extended set of images collected in season 2017.</div><div><br></div><div>A= 17 trees</div><div>B= 6 trees</div><div>C= 12 trees</div><div>ABC= 35 trees</div><div><br></div><div>A-x= 44 trees</div><div>B-x= 19 trees</div><div>C-x= 35 trees</div><div>ABC-x = 98 trees</div><div><br></div><div>harvest_data_deep_yield.xlsx file contains the harvest fruit count mapped with the tree and image names for each orchard.</div> 2021-02-15T05:46:13Z Dataset Dataset 10.25946/14033993.v1 https://figshare.com/articles/dataset/Mango_deep_yield_dataset_koirala_et_al_2021/14033993 CC BY 4.0