Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 95.03% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 33.53% | 62.17% | 42.13% | 0.50 | | | -33.42% | -32.90% | -27.23% | -0.30 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 26.15% | 57.45% | 32.43% | 0.41 | | | 11.51% | -42.11% | 17.78% | 0.16 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 41.62% | 41.74% | 99.32% | 0.59 | | | -3.73% | -42.24% | 49.68% | -0.04 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 95.26% | 96.76% | 98.40% | 0.98 | | | 1.20% | 2.64% | -1.53% | 0.01 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 29.08% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 19.82% | 99.97% | 19.82% | 0.33 | | | -76.03% | 1.87% | -77.84% | -0.65 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 50.16% | 67.32% | 66.31% | 0.67 | | | -42.30% | -26.68% | -31.95% | -0.29 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 0.95% | 0.97% | 25.43% | 0.02 | | | -33.82% | -93.38% | -10.07% | -0.50 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 8.30% | 8.34% | 94.70% | 0.15 | | | -89.74% | -89.99% | -5.01% | -0.84 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 62.06%

Label	Accuracy	Recall	Precision	F1
	81.40%	96.58%	83.51%	0.89
low_vegetation	26.67%	81.07%	30.97%	0.42
	-54.72%	-15.51%	-52.54%	-0.47
	53.55%	96.78%	56.46%	0.61
building	38.16%	62.38%	49.37%	0.54
	-15.39%	-34.39%	-7.09%	-0.07
	40.06%	89.17%	42.57%	0.57
human_made_object	21.28%	21.36%	62.38%	0.30
	-18.77%	-67.81%	19.80%	-0.27
	96.05%	96.22%	99.82%	0.98
ground	51.78%	52.55%	96.55%	0.56
	-44.27%	-43.67%	-3.27%	-0.42