Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 94.36% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 94.59% | 96.41% | 98.05% | 0.97 | | | 0.53% | 2.29% | -1.89% | 0.00 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 42.94% | 43.28% | 98.21% | 0.60 | | | -2.40% | -40.70% | 48.57% | -0.02 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 24.87% | 50.16% | 33.04% | 0.40 | | | -42.08% | -44.91% | -36.32% | -0.40 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 30.82% | 60.28% | 38.67% | 0.47 | | | 16.18% | -39.28% | 24.03% | 0.22 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 24.52% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 7.94% | 8.36% | 61.17% | 0.15 | | | -90.10% | -89.97% | -38.54% | -0.84 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 0.09% | 0.09% | 10.99% | 0.00 | | | -34.67% | -94.25% | -24.51% | -0.51 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 19.37% | 99.98% | 19.37% | 0.32 | | | -76.47% | 1.88% | -78.29% | -0.65 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 15.08% | 18.80% | 43.25% | 0.26 | | | -77.38% | -75.19% | -55.01% | -0.70 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 59.44%

Label	Accuracy	Recall	Precision	F1
	96.05%	96.22%	99.82%	0.98
ground	51.26%	52.38%	79.61%	0.56
	-44.79%	-43.84%	-20.21%	-0.42
	40.06%	89.17%	42.57%	0.57
human_made_object	21.52%	21.69%	54.60%	0.30
	-18.54%	-67.48%	12.03%	-0.27
	81.40%	96.58%	83.51%	0.89
low_vegetation	22.12%	75.07%	26.20%	0.36
	-59.28%	-21.51%	-57.31%	-0.53
	53.55%	96.78%	56.46%	0.61
building	22.95%	39.54%	40.96%	0.37
	-30.60%	-57.24%	-15.49%	-0.24