Added toledo point cloud

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 95.19% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 28.09% | 47.06% | 41.06% | 0.44 | | | -38.86% | -48.00% | -28.30% | -0.36 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 40.35% | 40.85% | 97.10% | 0.58 | | | -4.99% | -43.14% | 47.46% | -0.05 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 24.26% | 47.59% | 33.11% | 0.39 | | | 9.63% | -51.97% | 18.46% | 0.14 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 95.43% | 97.48% | 97.84% | 0.98 | | | 1.37% | 3.37% | -2.09% | 0.01 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 31.59% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 20.43% | 99.95% | 20.43% | 0.34 | | | -75.41% | 1.86% | -77.22% | -0.64 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 0.12% | 0.12% | 13.83% | 0.00 | | | -34.64% | -94.23% | -21.67% | -0.51 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 50.24% | 67.65% | 66.12% | 0.67 | | | -42.23% | -26.35% | -32.14% | -0.29 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 11.68% | 11.74% | 96.00% | 0.21 | | | -86.35% | -86.59% | -3.70% | -0.78 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 63.39%

Label	Accuracy	Recall	Precision	F1
	81.40%	96.58%	83.51%	0.89
low_vegetation	24.26%	73.51%	30.75%	0.39
	-57.14%	-23.07%	-52.76%	-0.50
	40.06%	89.17%	42.57%	0.57
human_made_object	20.24%	20.48%	55.47%	0.29
	-19.82%	-68.68%	12.90%	-0.28
	53.55%	96.78%	56.46%	0.61
building	37.25%	57.62%	49.62%	0.53
	-16.30%	-39.16%	-6.84%	-0.08
	96.05%	96.22%	99.82%	0.98
ground	53.56%	54.61%	96.92%	0.59
	-42.49%	-41.61%	-2.90%	-0.39