Datasets:

abturjo
/

Experiment-Samples

SHA256: 5a59319a344cbd83abe13782b39f54c80f21bacbd33e600d01ed3005168a9f6b
Pointer size: 133 Bytes
Size of remote file: 27.7 MB

This illustration shows the outcome of our combined pipeline (two-stage) which leverages YOLOv8m as the Segmentation Model and YOLOv9-GELAN-C as the object detection model. By using our custom distance-based classification (which mimics the real-life spatial search and inspection), we achived a balanced accuracy of 83.6% which in turn reduces the manual inspection cost by 35%

Files changed (1) hide show