Add waterbury point cloud sampled and mapping files

[HeDo88TH]

As title says!

[u4gbot]

brighton_beach_small

Overall accuracy from 63.73% to 70.54% | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 0.00% | 0.00% | N/A | N/A | | After | 36.77% | 71.48% | 43.10% | 0.54 | | Diff | N/A | N/A | N/A | N/A | | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 63.73% | 64.12% | 99.06% | 0.78 | | After | 70.39% | 71.09% | 98.64% | 0.83 | | Diff | 6.67% | 6.97% | -0.42% | 0.05 | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 1.87% | 99.96% | 1.87% | 0.04 | | After | 1.43% | 59.51% | 1.44% | 0.03 | | Diff | -0.44% | -40.46% | -0.43% | -0.01 | | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 55.99% | 58.07% | 94.01% | 0.72 | | After | 51.91% | 56.02% | 87.60% | 0.68 | | Diff | -4.09% | -2.05% | -6.40% | -0.03 |

sheffield_park_small

Overall accuracy from 91.37% to 80.31% | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 12.76% | 86.17% | 13.03% | 0.23 | | After | 4.50% | 95.31% | 4.51% | 0.09 | | Diff | -8.27% | 9.15% | -8.52% | -0.14 | | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 91.62% | 92.53% | 98.94% | 0.96 | | After | 85.57% | 86.11% | 99.27% | 0.92 | | Diff | -6.05% | -6.41% | 0.33% | -0.03 | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 75.33% | 76.46% | 98.08% | 0.86 | | After | 6.80% | 6.81% | 98.25% | 0.13 | | Diff | -68.52% | -69.65% | 0.17% | -0.73 | | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 80.03% | 94.96% | 83.58% | 0.89 | | After | 81.77% | 95.67% | 84.92% | 0.90 | | Diff | 1.74% | 0.71% | 1.34% | 0.01 |

Average (2 datasets)

Overall accuracy from 77.55% to 75.43%

human_made_object	Accuracy	Recall	Precision	F1
Before	6.38%	43.08%	6.51%	0.11
After	20.63%	83.40%	23.80%	0.31
Diff	14.25%	40.31%	17.29%	0.20

ground	Accuracy	Recall	Precision	F1
Before	77.67%	78.32%	99.00%	0.87
After	77.98%	78.60%	98.95%	0.87
Diff	0.31%	0.28%	-0.05%	0.01

building	Accuracy	Recall	Precision	F1
Before	38.60%	88.21%	49.97%	0.45
After	4.11%	33.16%	49.84%	0.08
Diff	-34.48%	-55.05%	-0.13%	-0.37

low_vegetation	Accuracy	Recall	Precision	F1
Before	68.01%	76.51%	88.79%	0.80
After	66.84%	75.84%	86.26%	0.79
Diff	-1.17%	-0.67%	-2.53%	-0.01