detections = [{"image_id": 139, "category_id": 1, "bbox": [417.3332824707031, 159.27003479003906, 47.66064453125, 143.00193786621094], "score": 0.9949821829795837 ...
It is useful because segmentation is the next step after detection. Detection says "there is an object here." Segmentation says "these exact pixels belong to it." Very picky, very useful. . ├── assets ...
Abstract: This study comparatively evaluated two advanced object detection models—Detectron2 and YOLOv11—for strawberry segmentation tasks. We utilized a custom dataset consisting of 551 images of 30 ...
Abstract: This paper presents a comparative evaluation of two state-of-the-art object detection frameworks, YOLOv8 and Detectron2, for aerial image analysis using unmanned aerial vehicles (UAVs) in ...
Imagine a self-driving car navigating a busy road. It must distinguish pedestrians from poles, read lane markings, and avoid potholes, all in real-time. Behind the scenes, image segmentation powers ...
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