Brief Introduction

This model detects handguns.

I created this model back in 2021, so it's not a cutting-edge solution. Also, because it's an older model, it's large in size and not suitable for running a demo in a browser, so there isn't a demo available for it.

Number of classes

1 class: (handgun)

Metrics

detections_count = 1485, unique_truth_count = 659
class_id = 0, name = Handgun, ap = 93.92% (TP = 590, FP = 72)
for conf_thresh = 0.25, precision = 0.89, recall = 0.90, F1-score = 0.89
for conf_thresh = 0.25, TP = 590, FP = 72, FN = 69, average IoU = 77.47 %
IoU threshold = 50 %, used Area-Under-Curve for each unique Recall
mean average precision (mAP@0.50) = 0.939233, or 93.92 %

System requirements

Inference time using CPU: 300 ms (on HP Laptop 15-DA0042NH (Processor: Intel(R) Core(TM) i7-8550U CPU))

License
By purchasing or downloading any project, you agree to the full license terms, which you can view here: LINK