Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 93.25% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 21.78% | 48.92% | 28.20% | 0.36 | | | -45.17% | -46.15% | -41.16% | -0.44 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 37.87% | 37.91% | 99.72% | 0.55 | | | -7.48% | -46.08% | 50.08% | -0.07 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 19.87% | 45.97% | 25.92% | 0.33 | | | 5.23% | -53.59% | 11.27% | 0.08 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 93.47% | 95.43% | 97.86% | 0.97 | | | -0.59% | 1.31% | -2.08% | -0.00 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 23.41% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 18.98% | 99.96% | 18.98% | 0.32 | | | -76.87% | 1.86% | -78.68% | -0.66 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 1.42% | 1.53% | 16.09% | 0.03 | | | -33.35% | -92.82% | -19.42% | -0.49 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 30.28% | 40.01% | 55.44% | 0.46 | | | -62.19% | -53.98% | -42.82% | -0.50 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 3.95% | 4.09% | 54.81% | 0.08 | | | -94.08% | -94.24% | -44.89% | -0.91 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 58.33%

Label	Accuracy	Recall	Precision	F1
	81.40%	96.58%	83.51%	0.89
low_vegetation	20.38%	74.44%	23.59%	0.34
	-61.02%	-22.14%	-59.92%	-0.55
	40.06%	89.17%	42.57%	0.57
human_made_object	19.64%	19.72%	57.90%	0.29
	-20.41%	-69.45%	15.33%	-0.28
	53.55%	96.78%	56.46%	0.61
building	25.07%	42.99%	40.68%	0.40
	-28.48%	-53.79%	-15.78%	-0.21
	96.05%	96.22%	99.82%	0.98
ground	48.71%	49.76%	76.33%	0.52
	-47.34%	-46.47%	-23.48%	-0.46