Deep learning drives strawberry detection, but inflated metrics plague the field
A systematic review of 60 strawberry detection studies finds that 35 percent applied data augmentation before dataset splitting, a controlled ...
Tag: mAP
Transformer-based detector spots camouflaged soybean pests more accurately
An enhanced RT-DETR-ResNet18 framework raises detection accuracy for camouflaged soybean pests, reaching 77.4% mAP@0.5 across 12 pest categories.
Fuzzy Color Maps and Modified YOLOv5 Sharpen Small Face Detection
A modified YOLOv5 architecture paired with a fuzzy, Cr-channel color-guided patching strategy improves detection of small and distant faces on ...
Smarter AI Spots Hidden Dental Problems in Panoramic X-Rays
A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...
Prompt Robustness and Fine-Tuning Tested in Open-Vocabulary Object Detection Showdown
A new comparative study finds that YOLO-World v2 offers the best balance of accuracy, speed, and prompt robustness among open-vocabulary ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!