Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.70% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 19.66% | 41.96% | 26.99% | 0.33 | | | 5.02% | -57.59% | 12.34% | 0.07 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 39.18% | 39.45% | 98.30% | 0.56 | | | -6.17% | -44.54% | 48.66% | -0.06 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 41.25% | 47.70% | 75.33% | 0.58 | | | -25.70% | -47.37% | 5.97% | -0.22 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 97.01% | 99.09% | 97.88% | 0.98 | | | 2.95% | 4.97% | -2.05% | 0.02 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 30.80% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 24.10% | 30.69% | 52.89% | 0.39 | | | -68.36% | -63.30% | -45.38% | -0.57 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 1.70% | 1.86% | 16.49% | 0.03 | | | -33.06% | -92.49% | -19.02% | -0.48 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 20.29% | 99.97% | 20.29% | 0.34 | | | -75.56% | 1.87% | -77.37% | -0.64 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 15.15% | 15.39% | 90.57% | 0.26 | | | -82.89% | -82.93% | -9.13% | -0.73 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 63.75%

Label	Accuracy	Recall	Precision	F1
	53.55%	96.78%	56.46%	0.61
building	21.88%	36.33%	39.94%	0.36
	-31.67%	-60.45%	-16.52%	-0.25
	40.06%	89.17%	42.57%	0.57
human_made_object	20.44%	20.65%	57.39%	0.30
	-19.61%	-68.51%	14.82%	-0.27
	81.40%	96.58%	83.51%	0.89
low_vegetation	30.77%	73.84%	47.81%	0.46
	-50.63%	-22.75%	-35.70%	-0.43
	96.05%	96.22%	99.82%	0.98
ground	56.08%	57.24%	94.23%	0.62
	-39.97%	-38.98%	-5.59%	-0.36