Sesame Plant Segmentation Dataset: A YOLO Formatted Annotated Dataset
PositiveArtificial Intelligence
- A new dataset, the Sesame Plant Segmentation Dataset, has been introduced, featuring 206 training images, 43 validation images, and 43 test images formatted for YOLO segmentation. This dataset focuses on sesame plants at early growth stages, captured under various environmental conditions in Nigeria, and annotated with the Segment Anything Model version 2.
- This development is significant as it provides a valuable resource for researchers and developers in agricultural AI, enabling more precise detection and analysis of sesame plants, which can enhance agricultural productivity and sustainability.
- The dataset aligns with ongoing advancements in computer vision, particularly the integration of models like YOLO and the Segment Anything Model, which are increasingly being utilized for various applications, including dance movement analysis and small object detection, highlighting the versatility and growing importance of AI in diverse fields.
— via World Pulse Now AI Editorial System