Ready, Steady, Go AI: A Practical Tutorial on Fundamentals of Artificial Intelligence and Its Applications in Phenomics Image Analysis
收藏Mendeley Data2026-04-18 收录
下载链接：
https://data.mendeley.com/datasets/4g7k9wptyd
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资源简介：
Original PlantVillage tomato leaf images were obtained from J, Arun Pandian; Gopal, Geetharamani (2019), “Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network”, Mendeley Data, V1, doi: 10.17632/tywbtsjrjv.1.
We provide:
1- A randomly split version of the dataset (80% training, 10% validation, and 10% testing).
2- 1000 annotated images with bounding boxes to train YOLOv3 on cropping leaf images.
3- 150 annotated images with segmentation masks to train SegNet on segmenting leaf images.
4- Cropped version of the split dataset.
5- Segmented version of the cropped and split dataset.
6- Balanced version of the segmented, cropped, and split dataset, balanced to1500 images per class, approximately.
7- Trained YOLO, SegNet, DCGAN, RF, DCNN, and Pretrained Densenet-161 DCNN models.
For details, check our paper: "Ready, Steady, Go AI: A Practical Tutorial on Fundamentals of Artificial Intelligence and Its Applications in Phenomics Image Analysis"
创建时间：
2021-07-01
