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Hi,
This is a question that is asked before but I didn't find the answer. Anyways can anybody please help me out like why is the mAP value coming zero? I'm training on yolov4 tiny.
calculation mAP (mean average precision)...
Detection layer: 30 - type = 28
Detection layer: 37 - type = 28
detections_count = 0, unique_truth_count = 406
class_id = 0, name = fire, ap = 0.00% (TP = 0, FP = 0)
for conf_thresh = 0.25, precision = -nan, recall = 0.00, F1-score = -nan
for conf_thresh = 0.25, TP = 0, FP = 0, FN = 406, average IoU = 0.00 %
IoU threshold = 50 %, used Area-Under-Curve for each unique Recall
mean average precision (mAP@0.50) = 0.000000, or 0.00 %
Set -points flag:
`-points 101` for MS COCO
`-points 11` for PascalVOC 2007 (uncomment `difficult` in voc.data)
`-points 0` (AUC) for ImageNet, PascalVOC 2010-2012, your custom dataset
mean_average_precision (mAP@0.50) = 0.000000
New best mAP!
Loaded: 0.000109 seconds
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Hi,
This is a question that is asked before but I didn't find the answer. Anyways can anybody please help me out like why is the mAP value coming zero? I'm training on yolov4 tiny.
The config file is as follows:
Any suggestions is highly appreciated.
Regards
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