. germinating:7042; 3. germinated:1936; 4. primary root:5087; 5. secondary root:17343. For easier download, we uploaded the 120-folder dataset separately, which was generated each hour. It could be accessed on the Kaggle public dataset titled Seed Vigor Detection RGB Image. The dataset is available at the following two address: https://www.kaggle.com/datasets/chengchengchen/seed-vigor-detection-rgb-image http://ieee-dataport.org/documents/rgb-image-dataset-seed-germination-prediction-and-seed-vigor 3.5. Seed viability object detection experiments In order to verify the validity of the dataset, we perform experiments on the seeds vitality object detection using the two-stage object detection
Open resource ↗Kaggle · Seed Vigor Detection RGB Image · lines:59-108Unverified paper record
An RGB image dataset for seed germination prediction and vigor detection - maize.
Frontiers in plant science · 21 Feb 2024 · 10.3389/fpls.2024.1341335
Abstract
Chengcheng Chen1*Muyao Bai1Tairan Wang1Weijia Zhang1Helong Yu2*Tiantian Pang3Jiehong Wu1Zhaokui Li1Xianchang Wang1,3,4
Plant phenotyping relevance
トウモロコシ種子の発芽・活力をRGB画像で推定するデータセットであり、植物表現型の画像取得・解析基盤が中心と判断できる。
titleAn RGB image dataset for seed germination prediction and vigor detection - maize.
Code and data availability
The authors publicly deposited the paper's maize seed germination RGB image dataset (19,800 annotated images, PASCAL VOC XML labels) on Kaggle and IEEE DataPort, with explicit URLs in the text. No analysis code was deposited.
t:17343. For easier download, we uploaded the 120-folder dataset separately, which was generated each hour. It could be accessed on the Kaggle public dataset titled Seed Vigor Detection RGB Image. The dataset is available at the following two address: https://www.kaggle.com/datasets/chengchengchen/seed-vigor-detection-rgb-image http://ieee-dataport.org/documents/rgb-image-dataset-seed-germination-prediction-and-seed-vigor 3.5. Seed viability object detection experiments In order to verify the validity of the dataset, we perform experiments on the seeds vitality object detection using the two-stage object detection model Faster RCNN ( Girshick, 2015 ), the one-stage model SSD ( Liu et al., 20
Open resource ↗rgb-image-dataset-seed-germination-prediction-and-seed-vigor · lines:59-108This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.