You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Detects 3 following classes:

  • backpack
  • handbag
  • suitcase

network resolution = 608 * 608

Loading weights from /BAG_DET_003.weights...

seen 64

Done! Loaded 176 layers from weights-file

calculation mAP (mean average precision)...

1204

detections_count = 7337, unique_truth_count = 2997

class_id = 0, name = backpack, ap = 75.79% (TP = 770, FP = 162)

class_id = 1, name = handbag, ap = 44.53% (TP = 439, FP = 227)

class_id = 2, name = suitcase, ap = 75.80% (TP = 503, FP = 108)

for conf_thresh = 0.25, precision = 0.78, recall = 0.57, F1-score = 0.66

for conf_thresh = 0.25, TP = 1712, FP = 497, FN = 1285, average IoU = 61.73 %

IoU threshold = 50 %, used Area-Under-Curve for each unique Recall

mean average precision (mAP@0.50) = 0.653740, or 65.37 %

Total Detection Time: 17.000000 Seconds

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Sharath33/BAG

Quantized
(2)
this model

Collection including Sharath33/BAG