pjramg/AgML-apple_detection_usa

apple_detection_usa数据集是一个用于目标检测任务的数据集，特别针对水果检测。该数据集包含2290张PNG格式的RGB图像，注释格式为COCO JSON。数据来源于美国，使用地面平台采集，是真实数据。数据集主要用于农业领域的水果检测任务。The apple_detection_usa dataset is used for object detection tasks in machine learning, specifically for fruit detection. This dataset contains 2290 images in PNG format, with annotations in COCO JSON format. The sensor modality is RGB, and the data is real, collected from a ground platform. The dataset is located in the USA, North America. Statistical information includes the mean and standard deviation of the images. The dataset has one class, which is apple.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于目标检测的苹果检测图像数据集，包含2,290张真实世界RGB图像，总大小为2.14 GB，图像格式为PNG，注释格式为COCO JSON。数据集聚焦于美国果园环境中的苹果检测，适用于农业领域的果实检测任务，并基于2019年的研究基准。