Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.31% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 17.49% | 29.75% | 29.79% | 0.30 | | | 2.85% | -69.81% | 15.14% | 0.04 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.52% | 98.73% | 97.74% | 0.98 | | | 2.46% | 4.61% | -2.20% | 0.01 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 36.22% | 47.95% | 59.69% | 0.53 | | | -30.73% | -47.12% | -9.67% | -0.27 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 42.92% | 44.54% | 92.21% | 0.60 | | | -2.43% | -39.45% | 42.57% | -0.02 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 27.39% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 28.93% | 37.60% | 55.64% | 0.45 | | | -63.53% | -56.40% | -42.63% | -0.51 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 9.36% | 9.74% | 70.39% | 0.17 | | | -88.68% | -88.58% | -29.31% | -0.82 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 20.16% | 99.95% | 20.16% | 0.34 | | | -75.68% | 1.85% | -77.50% | -0.64 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 5.14% | 10.92% | 8.85% | 0.10 | | | -29.62% | -83.42% | -26.65% | -0.42 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 61.85%

Label	Accuracy	Recall	Precision	F1
	53.55%	96.78%	56.46%	0.61
building	23.21%	33.68%	42.71%	0.37
	-30.34%	-63.10%	-13.75%	-0.23
	96.05%	96.22%	99.82%	0.98
ground	52.94%	54.24%	84.06%	0.58
	-43.11%	-41.99%	-15.76%	-0.40
	81.40%	96.58%	83.51%	0.89
low_vegetation	28.19%	73.95%	39.93%	0.43
	-53.21%	-22.63%	-43.58%	-0.46
	40.06%	89.17%	42.57%	0.57
human_made_object	24.03%	27.73%	50.53%	0.35
	-16.02%	-61.44%	7.96%	-0.22

[HeDo88TH]

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