Mpowerr HECMS YOLOV12L

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Mpowerr HECMS YOLOV12L — High-End Detection Built for Demanding Conditions

This model is crafted to operate in larger, more dynamic environments where stability and reach are essential. It delivers dependable results with enhanced coverage, making it a suitable option for mission-critical detection systems.

Performance Metrics — Accuracy, Insights, Outputs

This section highlights the core metrics used to evaluate the model’s performance, including precision, recall, and mAP scores. It also features evaluation charts and inference outputs that demonstrate how the model performs across various conditions.

92.47%

Precision

01

86.69%

Recall

02

93.78%

mAP@0.5

03

70.78%

mAP@0.5:0.95

04
F1 Confidence Curve
Precision Confidence Curve
Recall Confidence Curve
Precision Recall Curve
Confusion Matrix
Normalized Confusion Matrix
Training & Validation Metrics
Label Distribution Heatmap
Label Correlogram
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Changelog

V1

Mpowerr HECMS – YOLOV12L V1 Release

  • First release of the YOLOV12L model developed for robust elephant detection across complex terrains and field conditions.
  • Achieves 92.47% precision, 86.69% recall, and 93.78% mAP@0.5.
  • Performance report includes detection overlays, curve analysis, and evaluation maps to aid decision-making.
  • Model weights and logs are released for community testing, feedback, and deployment in scaled-up scenarios.
  • Recommended for use cases that require wider coverage, steady detection accuracy, and flexible integration.