Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision

Keyphrases

• Computer Vision 100%
• Sorghum 100%
• Maize 100%
• Curated Database 100%
• Weed Flora 100%
• Manually Annotated Dataset 100%
• Fully Automated 50%
• Vision-based 50%
• Instance Segmentation 50%
• Object Detection 50%
• Segmentation Problem 50%
• Object Instance 50%
• Germany 50%
• High Spatial Resolution 50%
• High Temporal Resolution 50%
• Biodiversity 50%
• World Population 50%
• Agricultural Area 50%
• Additional Time 50%
• High-quality Data 50%
• Maize Field 50%
• Weeds 50%
• High-throughput Phenotyping 50%
• Weed Control 50%
• Multi-object Tracking 50%
• Weed Management 50%
• Feeding the World 50%
• Weed Detection 50%
• Site-specific Weed Management 50%
• Sustainable Weed Management 50%
• Plant Species Identification 50%
• Weed Dataset 50%

Agricultural and Biological Sciences

• Sorghum 100%
• Computer Vision 100%
• Weed Management 50%
• Biodiversity 50%
• Weed Control 50%