Perfect for agritech developers and AI researchers, this dataset is geared toward improving jute crop management and disease control.

I found this dataset when it was not uploaded on Kaggle and was scattered across the internet. This dataset is a collection of multiple data sets I found online.

The dataset consists of 2500 images in total with the corresponding segmentation annotation files for seven different types of strawberry diseases.

The dataset contains 3D point cloud data of a synthetic plant with 10 sequences. Each sequence contains 0-19 days data at every growth stage of the specific sequence.

Globose Technology Solutions Private Limited leads the way in image processing innovation with the IP102-Dataset.

Over 20k labelled images for Tomato Leaf Disease Classification with 11 Classes.

By leveraging this dataset, professionals can delve into various applications—from pattern recognition in academic research to practical applications in medical imaging.

Explore the world of rice varieties through 15,000 high-quality images

Globose Technology Solutions uses the Leaf Disease Segmentation Dataset to improve plant health diagnostics. Our advanced image segmentation and machine learning solutions accurately identify and segment leaf diseases