---
# System prepended metadata

title: Data Pengujian

---

# Data Pengujian

## 1. IoU Threshold = 0.5

### 1.1 Confidence Score Threshold = 0.1
```bash=
 for conf_thresh = 0.10, precision = 0.71, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.10, TP = 1386, FP = 560, FN = 639, average IoU = 61.94 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 8 Seconds
```
### 1.2 Confidence Score Threshold = 0.2
```bash=
for conf_thresh = 0.20, precision = 0.72, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.20, TP = 1380, FP = 546, FN = 645, average IoU = 62.40 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 8 Seconds
```
### 1.3 Confidence Score Threshold = 0.3
```bash=
 for conf_thresh = 0.30, precision = 0.72, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.30, TP = 1379, FP = 529, FN = 646, average IoU = 62.94 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 8 Seconds
```
### 1.4 Confidence Score Threshold = 0.4
```bash=
 for conf_thresh = 0.40, precision = 0.73, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.40, TP = 1374, FP = 521, FN = 651, average IoU = 63.19 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 9 Seconds
```
### 1.5 Confidence Score Threshold = 0.5
```bash=
 for conf_thresh = 0.50, precision = 0.73, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.50, TP = 1372, FP = 515, FN = 653, average IoU = 63.38 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 8 Seconds
```
### 1.6 Confidence Score Threshold = 0.6
```bash=
 for conf_thresh = 0.60, precision = 0.73, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.60, TP = 1370, FP = 512, FN = 655, average IoU = 63.49 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 9 Seconds
```
### 1.7 Confidence Score Threshold = 0.7
```bash=
 for conf_thresh = 0.70, precision = 0.73, recall = 0.67, F1-score = 0.70 
 for conf_thresh = 0.70, TP = 1366, FP = 499, FN = 659, average IoU = 63.93 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 9 Seconds
```
### 1.8 Confidence Score Threshold = 0.8
```bash=
 for conf_thresh = 0.80, precision = 0.74, recall = 0.67, F1-score = 0.70 
 for conf_thresh = 0.80, TP = 1362, FP = 483, FN = 663, average IoU = 64.46 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 8 Seconds
```
### 1.9 Confidence Score Threshold = 0.9
```bash=
 for conf_thresh = 0.90, precision = 0.75, recall = 0.67, F1-score = 0.71 
 for conf_thresh = 0.90, TP = 1350, FP = 453, FN = 675, average IoU = 65.50 % 

 IoU threshold = 50 %, used Area-Under-Curve for each unique Recall 
 mean average precision (mAP@0.50) = 0.672895, or 67.29 % 
Total Detection Time: 8 Seconds
```
### PR-Curve Data for 11-Points Interpolation (PASCAL VOC 2007 Standard)
```bash=
 detections_count = 2115, unique_truth_count = 2025  
class_id = 0, point = 0, cur_prob = 1.0000, cur_recall = 0.0000, cur_precision = 1.0000 
class_id = 0, point = 1, cur_prob = 1.0000, cur_recall = 0.1000, cur_precision = 0.9955 
class_id = 0, point = 2, cur_prob = 1.0000, cur_recall = 0.2000, cur_precision = 0.9955 
class_id = 0, point = 3, cur_prob = 1.0000, cur_recall = 0.3000, cur_precision = 0.9901 
class_id = 0, point = 4, cur_prob = 0.9999, cur_recall = 0.4000, cur_precision = 0.9860 
class_id = 0, point = 5, cur_prob = 0.9999, cur_recall = 0.5000, cur_precision = 0.9781 
class_id = 0, point = 6, cur_prob = 0.9944, cur_recall = 0.6000, cur_precision = 0.7441 
class_id = 0, point = 7, cur_prob = 0.0000, cur_recall = 0.7000, cur_precision = 0.0000 
class_id = 0, point = 8, cur_prob = 0.0000, cur_recall = 0.8000, cur_precision = 0.0000 
class_id = 0, point = 9, cur_prob = 0.0000, cur_recall = 0.9000, cur_precision = 0.0000 
class_id = 0, point = 10, cur_prob = 0.0000, cur_recall = 1.0000, cur_precision = 0.0000 
class_id = 0, name = magenta, ap = 60.81%   	 (TP = 653, FP = 335) 
class_id = 1, point = 0, cur_prob = 1.0000, cur_recall = 0.0000, cur_precision = 1.0000 
class_id = 1, point = 1, cur_prob = 1.0000, cur_recall = 0.1000, cur_precision = 1.0000 
class_id = 1, point = 2, cur_prob = 1.0000, cur_recall = 0.2000, cur_precision = 1.0000 
class_id = 1, point = 3, cur_prob = 0.9999, cur_recall = 0.3000, cur_precision = 1.0000 
class_id = 1, point = 4, cur_prob = 0.9999, cur_recall = 0.4000, cur_precision = 0.9949 
class_id = 1, point = 5, cur_prob = 0.9998, cur_recall = 0.5000, cur_precision = 0.9881 
class_id = 1, point = 6, cur_prob = 0.9992, cur_recall = 0.6000, cur_precision = 0.9576 
class_id = 1, point = 7, cur_prob = 0.9709, cur_recall = 0.7000, cur_precision = 0.8580 
class_id = 1, point = 8, cur_prob = 0.0000, cur_recall = 0.8000, cur_precision = 0.0000 
class_id = 1, point = 9, cur_prob = 0.0000, cur_recall = 0.9000, cur_precision = 0.0000 
class_id = 1, point = 10, cur_prob = 0.0000, cur_recall = 1.0000, cur_precision = 0.0000 
class_id = 1, name = cyan, ap = 70.90%   	 (TP = 719, FP = 180) 

 for conf_thresh = 0.50, precision = 0.73, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.50, TP = 1372, FP = 515, FN = 653, average IoU = 63.38 % 

 IoU threshold = 50 %, used 11 Recall-points 
 mean average precision (mAP@0.50) = 0.658549, or 65.85 % 
Total Detection Time: 8 Seconds

```
### PR-Curve Data for 101-Points Interpolation (MS-COCO Standard)
```bash=
detections_count = 2115, unique_truth_count = 2025  
class_id = 0, point = 0, cur_prob = 1.0000, cur_recall = 0.0000, cur_precision = 1.0000 
class_id = 0, point = 1, cur_prob = 1.0000, cur_recall = 0.0100, cur_precision = 0.9955 
class_id = 0, point = 2, cur_prob = 1.0000, cur_recall = 0.0200, cur_precision = 0.9955 
class_id = 0, point = 3, cur_prob = 1.0000, cur_recall = 0.0300, cur_precision = 0.9955 
class_id = 0, point = 4, cur_prob = 1.0000, cur_recall = 0.0400, cur_precision = 0.9955 
class_id = 0, point = 5, cur_prob = 1.0000, cur_recall = 0.0500, cur_precision = 0.9955 
class_id = 0, point = 6, cur_prob = 1.0000, cur_recall = 0.0600, cur_precision = 0.9955 
class_id = 0, point = 7, cur_prob = 1.0000, cur_recall = 0.0700, cur_precision = 0.9955 
class_id = 0, point = 8, cur_prob = 1.0000, cur_recall = 0.0800, cur_precision = 0.9955 
class_id = 0, point = 9, cur_prob = 1.0000, cur_recall = 0.0900, cur_precision = 0.9955 
class_id = 0, point = 10, cur_prob = 1.0000, cur_recall = 0.1000, cur_precision = 0.9955 
class_id = 0, point = 11, cur_prob = 1.0000, cur_recall = 0.1100, cur_precision = 0.9955 
class_id = 0, point = 12, cur_prob = 1.0000, cur_recall = 0.1200, cur_precision = 0.9955 
class_id = 0, point = 13, cur_prob = 1.0000, cur_recall = 0.1300, cur_precision = 0.9955 
class_id = 0, point = 14, cur_prob = 1.0000, cur_recall = 0.1400, cur_precision = 0.9955 
class_id = 0, point = 15, cur_prob = 1.0000, cur_recall = 0.1500, cur_precision = 0.9955 
class_id = 0, point = 16, cur_prob = 1.0000, cur_recall = 0.1600, cur_precision = 0.9955 
class_id = 0, point = 17, cur_prob = 1.0000, cur_recall = 0.1700, cur_precision = 0.9955 
class_id = 0, point = 18, cur_prob = 1.0000, cur_recall = 0.1800, cur_precision = 0.9955 
class_id = 0, point = 19, cur_prob = 1.0000, cur_recall = 0.1900, cur_precision = 0.9955 
class_id = 0, point = 20, cur_prob = 1.0000, cur_recall = 0.2000, cur_precision = 0.9955 
class_id = 0, point = 21, cur_prob = 1.0000, cur_recall = 0.2100, cur_precision = 0.9955 
class_id = 0, point = 22, cur_prob = 1.0000, cur_recall = 0.2200, cur_precision = 0.9916 
class_id = 0, point = 23, cur_prob = 1.0000, cur_recall = 0.2300, cur_precision = 0.9901 
class_id = 0, point = 24, cur_prob = 1.0000, cur_recall = 0.2400, cur_precision = 0.9901 
class_id = 0, point = 25, cur_prob = 1.0000, cur_recall = 0.2500, cur_precision = 0.9901 
class_id = 0, point = 26, cur_prob = 1.0000, cur_recall = 0.2600, cur_precision = 0.9901 
class_id = 0, point = 27, cur_prob = 1.0000, cur_recall = 0.2700, cur_precision = 0.9901 
class_id = 0, point = 28, cur_prob = 1.0000, cur_recall = 0.2800, cur_precision = 0.9901 
class_id = 0, point = 29, cur_prob = 1.0000, cur_recall = 0.2900, cur_precision = 0.9901 
class_id = 0, point = 30, cur_prob = 1.0000, cur_recall = 0.3000, cur_precision = 0.9901 
class_id = 0, point = 31, cur_prob = 1.0000, cur_recall = 0.3100, cur_precision = 0.9901 
class_id = 0, point = 32, cur_prob = 1.0000, cur_recall = 0.3200, cur_precision = 0.9901 
class_id = 0, point = 33, cur_prob = 1.0000, cur_recall = 0.3300, cur_precision = 0.9901 
class_id = 0, point = 34, cur_prob = 1.0000, cur_recall = 0.3400, cur_precision = 0.9901 
class_id = 0, point = 35, cur_prob = 1.0000, cur_recall = 0.3500, cur_precision = 0.9901 
class_id = 0, point = 36, cur_prob = 1.0000, cur_recall = 0.3600, cur_precision = 0.9901 
class_id = 0, point = 37, cur_prob = 1.0000, cur_recall = 0.3700, cur_precision = 0.9901 
class_id = 0, point = 38, cur_prob = 1.0000, cur_recall = 0.3800, cur_precision = 0.9901 
class_id = 0, point = 39, cur_prob = 1.0000, cur_recall = 0.3900, cur_precision = 0.9881 
class_id = 0, point = 40, cur_prob = 0.9999, cur_recall = 0.4000, cur_precision = 0.9860 
class_id = 0, point = 41, cur_prob = 0.9999, cur_recall = 0.4100, cur_precision = 0.9851 
class_id = 0, point = 42, cur_prob = 0.9999, cur_recall = 0.4200, cur_precision = 0.9851 
class_id = 0, point = 43, cur_prob = 0.9999, cur_recall = 0.4300, cur_precision = 0.9851 
class_id = 0, point = 44, cur_prob = 0.9999, cur_recall = 0.4400, cur_precision = 0.9851 
class_id = 0, point = 45, cur_prob = 0.9999, cur_recall = 0.4500, cur_precision = 0.9840 
class_id = 0, point = 46, cur_prob = 0.9999, cur_recall = 0.4600, cur_precision = 0.9840 
class_id = 0, point = 47, cur_prob = 0.9999, cur_recall = 0.4700, cur_precision = 0.9824 
class_id = 0, point = 48, cur_prob = 0.9999, cur_recall = 0.4800, cur_precision = 0.9807 
class_id = 0, point = 49, cur_prob = 0.9999, cur_recall = 0.4900, cur_precision = 0.9794 
class_id = 0, point = 50, cur_prob = 0.9999, cur_recall = 0.5000, cur_precision = 0.9781 
class_id = 0, point = 51, cur_prob = 0.9999, cur_recall = 0.5100, cur_precision = 0.9781 
class_id = 0, point = 52, cur_prob = 0.9999, cur_recall = 0.5200, cur_precision = 0.9750 
class_id = 0, point = 53, cur_prob = 0.9999, cur_recall = 0.5300, cur_precision = 0.9672 
class_id = 0, point = 54, cur_prob = 0.9998, cur_recall = 0.5400, cur_precision = 0.9610 
class_id = 0, point = 55, cur_prob = 0.9998, cur_recall = 0.5500, cur_precision = 0.9368 
class_id = 0, point = 56, cur_prob = 0.9997, cur_recall = 0.5600, cur_precision = 0.9245 
class_id = 0, point = 57, cur_prob = 0.9996, cur_recall = 0.5700, cur_precision = 0.8981 
class_id = 0, point = 58, cur_prob = 0.9993, cur_recall = 0.5800, cur_precision = 0.8529 
class_id = 0, point = 59, cur_prob = 0.9981, cur_recall = 0.5900, cur_precision = 0.8042 
class_id = 0, point = 60, cur_prob = 0.9947, cur_recall = 0.6000, cur_precision = 0.7456 
class_id = 0, point = 61, cur_prob = 0.9769, cur_recall = 0.6100, cur_precision = 0.7013 
class_id = 0, point = 62, cur_prob = 0.8075, cur_recall = 0.6200, cur_precision = 0.6684 
class_id = 0, point = 63, cur_prob = 0.0000, cur_recall = 0.6300, cur_precision = 0.0000 
class_id = 0, point = 64, cur_prob = 0.0000, cur_recall = 0.6400, cur_precision = 0.0000 
class_id = 0, point = 65, cur_prob = 0.0000, cur_recall = 0.6500, cur_precision = 0.0000 
class_id = 0, point = 66, cur_prob = 0.0000, cur_recall = 0.6600, cur_precision = 0.0000 
class_id = 0, point = 67, cur_prob = 0.0000, cur_recall = 0.6700, cur_precision = 0.0000 
class_id = 0, point = 68, cur_prob = 0.0000, cur_recall = 0.6800, cur_precision = 0.0000 
class_id = 0, point = 69, cur_prob = 0.0000, cur_recall = 0.6900, cur_precision = 0.0000 
class_id = 0, point = 70, cur_prob = 0.0000, cur_recall = 0.7000, cur_precision = 0.0000 
class_id = 0, point = 71, cur_prob = 0.0000, cur_recall = 0.7100, cur_precision = 0.0000 
class_id = 0, point = 72, cur_prob = 0.0000, cur_recall = 0.7200, cur_precision = 0.0000 
class_id = 0, point = 73, cur_prob = 0.0000, cur_recall = 0.7300, cur_precision = 0.0000 
class_id = 0, point = 74, cur_prob = 0.0000, cur_recall = 0.7400, cur_precision = 0.0000 
class_id = 0, point = 75, cur_prob = 0.0000, cur_recall = 0.7500, cur_precision = 0.0000 
class_id = 0, point = 76, cur_prob = 0.0000, cur_recall = 0.7600, cur_precision = 0.0000 
class_id = 0, point = 77, cur_prob = 0.0000, cur_recall = 0.7700, cur_precision = 0.0000 
class_id = 0, point = 78, cur_prob = 0.0000, cur_recall = 0.7800, cur_precision = 0.0000 
class_id = 0, point = 79, cur_prob = 0.0000, cur_recall = 0.7900, cur_precision = 0.0000 
class_id = 0, point = 80, cur_prob = 0.0000, cur_recall = 0.8000, cur_precision = 0.0000 
class_id = 0, point = 81, cur_prob = 0.0000, cur_recall = 0.8100, cur_precision = 0.0000 
class_id = 0, point = 82, cur_prob = 0.0000, cur_recall = 0.8200, cur_precision = 0.0000 
class_id = 0, point = 83, cur_prob = 0.0000, cur_recall = 0.8300, cur_precision = 0.0000 
class_id = 0, point = 84, cur_prob = 0.0000, cur_recall = 0.8400, cur_precision = 0.0000 
class_id = 0, point = 85, cur_prob = 0.0000, cur_recall = 0.8500, cur_precision = 0.0000 
class_id = 0, point = 86, cur_prob = 0.0000, cur_recall = 0.8600, cur_precision = 0.0000 
class_id = 0, point = 87, cur_prob = 0.0000, cur_recall = 0.8700, cur_precision = 0.0000 
class_id = 0, point = 88, cur_prob = 0.0000, cur_recall = 0.8800, cur_precision = 0.0000 
class_id = 0, point = 89, cur_prob = 0.0000, cur_recall = 0.8900, cur_precision = 0.0000 
class_id = 0, point = 90, cur_prob = 0.0000, cur_recall = 0.9000, cur_precision = 0.0000 
class_id = 0, point = 91, cur_prob = 0.0000, cur_recall = 0.9100, cur_precision = 0.0000 
class_id = 0, point = 92, cur_prob = 0.0000, cur_recall = 0.9200, cur_precision = 0.0000 
class_id = 0, point = 93, cur_prob = 0.0000, cur_recall = 0.9300, cur_precision = 0.0000 
class_id = 0, point = 94, cur_prob = 0.0000, cur_recall = 0.9400, cur_precision = 0.0000 
class_id = 0, point = 95, cur_prob = 0.0000, cur_recall = 0.9500, cur_precision = 0.0000 
class_id = 0, point = 96, cur_prob = 0.0000, cur_recall = 0.9600, cur_precision = 0.0000 
class_id = 0, point = 97, cur_prob = 0.0000, cur_recall = 0.9700, cur_precision = 0.0000 
class_id = 0, point = 98, cur_prob = 0.0000, cur_recall = 0.9800, cur_precision = 0.0000 
class_id = 0, point = 99, cur_prob = 0.0000, cur_recall = 0.9900, cur_precision = 0.0000 
class_id = 0, point = 100, cur_prob = 0.0000, cur_recall = 1.0000, cur_precision = 0.0000 
class_id = 0, name = magenta, ap = 60.35%   	 (TP = 653, FP = 335) 
class_id = 1, point = 0, cur_prob = 1.0000, cur_recall = 0.0000, cur_precision = 1.0000 
class_id = 1, point = 1, cur_prob = 1.0000, cur_recall = 0.0100, cur_precision = 1.0000 
class_id = 1, point = 2, cur_prob = 1.0000, cur_recall = 0.0200, cur_precision = 1.0000 
class_id = 1, point = 3, cur_prob = 1.0000, cur_recall = 0.0300, cur_precision = 1.0000 
class_id = 1, point = 4, cur_prob = 1.0000, cur_recall = 0.0400, cur_precision = 1.0000 
class_id = 1, point = 5, cur_prob = 1.0000, cur_recall = 0.0500, cur_precision = 1.0000 
class_id = 1, point = 6, cur_prob = 1.0000, cur_recall = 0.0600, cur_precision = 1.0000 
class_id = 1, point = 7, cur_prob = 1.0000, cur_recall = 0.0700, cur_precision = 1.0000 
class_id = 1, point = 8, cur_prob = 1.0000, cur_recall = 0.0800, cur_precision = 1.0000 
class_id = 1, point = 9, cur_prob = 1.0000, cur_recall = 0.0900, cur_precision = 1.0000 
class_id = 1, point = 10, cur_prob = 1.0000, cur_recall = 0.1000, cur_precision = 1.0000 
class_id = 1, point = 11, cur_prob = 1.0000, cur_recall = 0.1100, cur_precision = 1.0000 
class_id = 1, point = 12, cur_prob = 1.0000, cur_recall = 0.1200, cur_precision = 1.0000 
class_id = 1, point = 13, cur_prob = 1.0000, cur_recall = 0.1300, cur_precision = 1.0000 
class_id = 1, point = 14, cur_prob = 1.0000, cur_recall = 0.1400, cur_precision = 1.0000 
class_id = 1, point = 15, cur_prob = 1.0000, cur_recall = 0.1500, cur_precision = 1.0000 
class_id = 1, point = 16, cur_prob = 1.0000, cur_recall = 0.1600, cur_precision = 1.0000 
class_id = 1, point = 17, cur_prob = 1.0000, cur_recall = 0.1700, cur_precision = 1.0000 
class_id = 1, point = 18, cur_prob = 1.0000, cur_recall = 0.1800, cur_precision = 1.0000 
class_id = 1, point = 19, cur_prob = 1.0000, cur_recall = 0.1900, cur_precision = 1.0000 
class_id = 1, point = 20, cur_prob = 1.0000, cur_recall = 0.2000, cur_precision = 1.0000 
class_id = 1, point = 21, cur_prob = 1.0000, cur_recall = 0.2100, cur_precision = 1.0000 
class_id = 1, point = 22, cur_prob = 1.0000, cur_recall = 0.2200, cur_precision = 1.0000 
class_id = 1, point = 23, cur_prob = 1.0000, cur_recall = 0.2300, cur_precision = 1.0000 
class_id = 1, point = 24, cur_prob = 1.0000, cur_recall = 0.2400, cur_precision = 1.0000 
class_id = 1, point = 25, cur_prob = 0.9999, cur_recall = 0.2500, cur_precision = 1.0000 
class_id = 1, point = 26, cur_prob = 0.9999, cur_recall = 0.2600, cur_precision = 1.0000 
class_id = 1, point = 27, cur_prob = 0.9999, cur_recall = 0.2700, cur_precision = 1.0000 
class_id = 1, point = 28, cur_prob = 0.9999, cur_recall = 0.2800, cur_precision = 1.0000 
class_id = 1, point = 29, cur_prob = 0.9999, cur_recall = 0.2900, cur_precision = 1.0000 
class_id = 1, point = 30, cur_prob = 0.9999, cur_recall = 0.3000, cur_precision = 1.0000 
class_id = 1, point = 31, cur_prob = 0.9999, cur_recall = 0.3100, cur_precision = 1.0000 
class_id = 1, point = 32, cur_prob = 0.9999, cur_recall = 0.3200, cur_precision = 1.0000 
class_id = 1, point = 33, cur_prob = 0.9999, cur_recall = 0.3300, cur_precision = 1.0000 
class_id = 1, point = 34, cur_prob = 0.9999, cur_recall = 0.3400, cur_precision = 0.9974 
class_id = 1, point = 35, cur_prob = 0.9999, cur_recall = 0.3500, cur_precision = 0.9974 
class_id = 1, point = 36, cur_prob = 0.9999, cur_recall = 0.3600, cur_precision = 0.9974 
class_id = 1, point = 37, cur_prob = 0.9999, cur_recall = 0.3700, cur_precision = 0.9974 
class_id = 1, point = 38, cur_prob = 0.9999, cur_recall = 0.3800, cur_precision = 0.9974 
class_id = 1, point = 39, cur_prob = 0.9999, cur_recall = 0.3900, cur_precision = 0.9949 
class_id = 1, point = 40, cur_prob = 0.9999, cur_recall = 0.4000, cur_precision = 0.9949 
class_id = 1, point = 41, cur_prob = 0.9999, cur_recall = 0.4100, cur_precision = 0.9928 
class_id = 1, point = 42, cur_prob = 0.9999, cur_recall = 0.4200, cur_precision = 0.9928 
class_id = 1, point = 43, cur_prob = 0.9999, cur_recall = 0.4300, cur_precision = 0.9909 
class_id = 1, point = 44, cur_prob = 0.9999, cur_recall = 0.4400, cur_precision = 0.9909 
class_id = 1, point = 45, cur_prob = 0.9999, cur_recall = 0.4500, cur_precision = 0.9888 
class_id = 1, point = 46, cur_prob = 0.9998, cur_recall = 0.4600, cur_precision = 0.9881 
class_id = 1, point = 47, cur_prob = 0.9998, cur_recall = 0.4700, cur_precision = 0.9881 
class_id = 1, point = 48, cur_prob = 0.9998, cur_recall = 0.4800, cur_precision = 0.9881 
class_id = 1, point = 49, cur_prob = 0.9998, cur_recall = 0.4900, cur_precision = 0.9881 
class_id = 1, point = 50, cur_prob = 0.9998, cur_recall = 0.5000, cur_precision = 0.9881 
class_id = 1, point = 51, cur_prob = 0.9998, cur_recall = 0.5100, cur_precision = 0.9881 
class_id = 1, point = 52, cur_prob = 0.9997, cur_recall = 0.5200, cur_precision = 0.9852 
class_id = 1, point = 53, cur_prob = 0.9997, cur_recall = 0.5300, cur_precision = 0.9852 
class_id = 1, point = 54, cur_prob = 0.9997, cur_recall = 0.5400, cur_precision = 0.9852 
class_id = 1, point = 55, cur_prob = 0.9996, cur_recall = 0.5500, cur_precision = 0.9802 
class_id = 1, point = 56, cur_prob = 0.9996, cur_recall = 0.5600, cur_precision = 0.9786 
class_id = 1, point = 57, cur_prob = 0.9995, cur_recall = 0.5700, cur_precision = 0.9720 
class_id = 1, point = 58, cur_prob = 0.9994, cur_recall = 0.5800, cur_precision = 0.9664 
class_id = 1, point = 59, cur_prob = 0.9994, cur_recall = 0.5900, cur_precision = 0.9650 
class_id = 1, point = 60, cur_prob = 0.9993, cur_recall = 0.6000, cur_precision = 0.9606 
class_id = 1, point = 61, cur_prob = 0.9991, cur_recall = 0.6100, cur_precision = 0.9505 
class_id = 1, point = 62, cur_prob = 0.9987, cur_recall = 0.6200, cur_precision = 0.9443 
class_id = 1, point = 63, cur_prob = 0.9985, cur_recall = 0.6300, cur_precision = 0.9378 
class_id = 1, point = 64, cur_prob = 0.9982, cur_recall = 0.6400, cur_precision = 0.9301 
class_id = 1, point = 65, cur_prob = 0.9972, cur_recall = 0.6500, cur_precision = 0.9219 
class_id = 1, point = 66, cur_prob = 0.9965, cur_recall = 0.6600, cur_precision = 0.9149 
class_id = 1, point = 67, cur_prob = 0.9946, cur_recall = 0.6700, cur_precision = 0.9008 
class_id = 1, point = 68, cur_prob = 0.9915, cur_recall = 0.6800, cur_precision = 0.8864 
class_id = 1, point = 69, cur_prob = 0.9821, cur_recall = 0.6900, cur_precision = 0.8710 
class_id = 1, point = 70, cur_prob = 0.9709, cur_recall = 0.7000, cur_precision = 0.8580 
class_id = 1, point = 71, cur_prob = 0.9508, cur_recall = 0.7100, cur_precision = 0.8515 
class_id = 1, point = 72, cur_prob = 0.9164, cur_recall = 0.7200, cur_precision = 0.8387 
class_id = 1, point = 73, cur_prob = 0.7908, cur_recall = 0.7300, cur_precision = 0.8165 
class_id = 1, point = 74, cur_prob = 0.3895, cur_recall = 0.7400, cur_precision = 0.7960 
class_id = 1, point = 75, cur_prob = 0.0342, cur_recall = 0.7500, cur_precision = 0.7722 
class_id = 1, point = 76, cur_prob = 0.0078, cur_recall = 0.7600, cur_precision = 0.7403 
class_id = 1, point = 77, cur_prob = 0.0000, cur_recall = 0.7700, cur_precision = 0.0000 
class_id = 1, point = 78, cur_prob = 0.0000, cur_recall = 0.7800, cur_precision = 0.0000 
class_id = 1, point = 79, cur_prob = 0.0000, cur_recall = 0.7900, cur_precision = 0.0000 
class_id = 1, point = 80, cur_prob = 0.0000, cur_recall = 0.8000, cur_precision = 0.0000 
class_id = 1, point = 81, cur_prob = 0.0000, cur_recall = 0.8100, cur_precision = 0.0000 
class_id = 1, point = 82, cur_prob = 0.0000, cur_recall = 0.8200, cur_precision = 0.0000 
class_id = 1, point = 83, cur_prob = 0.0000, cur_recall = 0.8300, cur_precision = 0.0000 
class_id = 1, point = 84, cur_prob = 0.0000, cur_recall = 0.8400, cur_precision = 0.0000 
class_id = 1, point = 85, cur_prob = 0.0000, cur_recall = 0.8500, cur_precision = 0.0000 
class_id = 1, point = 86, cur_prob = 0.0000, cur_recall = 0.8600, cur_precision = 0.0000 
class_id = 1, point = 87, cur_prob = 0.0000, cur_recall = 0.8700, cur_precision = 0.0000 
class_id = 1, point = 88, cur_prob = 0.0000, cur_recall = 0.8800, cur_precision = 0.0000 
class_id = 1, point = 89, cur_prob = 0.0000, cur_recall = 0.8900, cur_precision = 0.0000 
class_id = 1, point = 90, cur_prob = 0.0000, cur_recall = 0.9000, cur_precision = 0.0000 
class_id = 1, point = 91, cur_prob = 0.0000, cur_recall = 0.9100, cur_precision = 0.0000 
class_id = 1, point = 92, cur_prob = 0.0000, cur_recall = 0.9200, cur_precision = 0.0000 
class_id = 1, point = 93, cur_prob = 0.0000, cur_recall = 0.9300, cur_precision = 0.0000 
class_id = 1, point = 94, cur_prob = 0.0000, cur_recall = 0.9400, cur_precision = 0.0000 
class_id = 1, point = 95, cur_prob = 0.0000, cur_recall = 0.9500, cur_precision = 0.0000 
class_id = 1, point = 96, cur_prob = 0.0000, cur_recall = 0.9600, cur_precision = 0.0000 
class_id = 1, point = 97, cur_prob = 0.0000, cur_recall = 0.9700, cur_precision = 0.0000 
class_id = 1, point = 98, cur_prob = 0.0000, cur_recall = 0.9800, cur_precision = 0.0000 
class_id = 1, point = 99, cur_prob = 0.0000, cur_recall = 0.9900, cur_precision = 0.0000 
class_id = 1, point = 100, cur_prob = 0.0000, cur_recall = 1.0000, cur_precision = 0.0000 
class_id = 1, name = cyan, ap = 73.83%   	 (TP = 719, FP = 180) 

 for conf_thresh = 0.50, precision = 0.73, recall = 0.68, F1-score = 0.70 
 for conf_thresh = 0.50, TP = 1372, FP = 515, FN = 653, average IoU = 63.38 % 

 IoU threshold = 50 %, used 101 Recall-points 
 mean average precision (mAP@0.50) = 0.670922, or 67.09 % 
Total Detection Time: 8 Seconds
```
### Area Under Curve (AUC) using 11-Points Interpolation

```bash=
AUC Magenta 11-Points Interpolation 0.61893
AUC Cyan 11-Points Interpolation 0.72986
```
### Area Under Curve (AUC) using 101-Points Interpolation
```bash=
AUC Magenta 101-Points Interpolation 0.604549
AUC Cyan 101-Points Interpolation 0.7407090000000001
```

