Shypd.aiThe largest open index of AI toolsYOLO-Patch-Based-Inference is a Data & Analytics tool that simplifies SAHI-like inference for small object detection and instance segmentation. It supports a wide range of Ultralytics models and offers customizable visualization of inference results.
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YOLO-Patch-Based-Inference is a Python library designed to simplify SAHI-like inference for instance segmentation tasks, specifically enabling the detection of small objects in images. It caters to both object detection and instance segmentation, supporting various Ultralytics models including YOLOv8, YOLOv9, YOLOv10, YOLO11, YOLO12, FastSAM, and RTDETR. Users can leverage pre-trained models or integrate their custom-trained models. The library also provides extensive customization options for visualizing inference results, applicable to both standard and patch-based inference methods. It includes interactive notebooks and tutorials to guide users through batch inference procedures, custom visualization, and more.
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