Description, dataset and weights to run inference of oak acorns detection using YOLOv7.
For a detailed explanation refer to the poster: https://www.researchgate.net/publication/370498503_Uso_de_deep_learning_y_deteccion_visual_para_el_conteo_automatico_en_el_aforo_de_bellota_de_encina
If you use this dataset or weights for your publications, please cite it as:
@article{unknown,
author = {Gómez-Giráldez, Pedro J. and Mondéjar-Guerra, Víctor M.},
year = {2023},
month = {04},
pages = {},
title = {Uso de deep learning y detección visual para el conteo automático en el aforo de bellota de encina}
}
Download YOLOv7 from: https://github.com/WongKinYiu/yolov7
Trained weights for YOLOv7 can be download from: best.pt
The dataset and best weights can be download from: https://www.kaggle.com/datasets/mondejar/oak-acorns-detector
The dataset used in this train consist in 50 .png images with their corresponding annottation file. Original images and scaled images (1280x720) are provided.
Examples of inference tests:
