Mpowerr HECMS YOLOV12X

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Mpowerr HECMS YOLOV12X — Exceptional Accuracy for Demanding Detection Workloads

Designed for precision at scale, this model is tailored for high-capacity systems where accuracy and consistency are critical. It delivers top-tier performance, making it ideal for large-scale monitoring and smart conservation 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.

98.55%

Precision

01

98.11%

Recall

02

99.22%

mAP@0.5

03

88.84%

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 – YOLOV12X V1 Release

  • First official release of the YOLOV12X model, fine-tuned for high-precision elephant detection across complex, real-time environments.
  • Achieves 98.55% precision, 98.11% recall, and 99.22% mAP@0.5.
  • Model assets include detailed visualizations, confidence-based analytics, and exportable evaluation summaries.
  • Released openly with performance logs, integration guides, and weight files for deployment in high-scale systems.
  • Highly suitable for enterprise-grade wildlife monitoring platforms requiring maximum detection fidelity.