Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 95.18% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 95.42% | 97.18% | 98.14% | 0.98 | | | 1.36% | 3.06% | -1.80% | 0.01 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 30.88% | 52.91% | 42.57% | 0.47 | | | -36.08% | -42.16% | -26.79% | -0.33 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 28.61% | 63.74% | 34.17% | 0.44 | | | 13.97% | -35.82% | 19.52% | 0.19 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 39.12% | 39.73% | 96.18% | 0.56 | | | -6.23% | -44.25% | 46.54% | -0.06 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 26.83% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 9.92% | 10.25% | 75.34% | 0.18 | | | -88.12% | -88.07% | -24.36% | -0.81 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 19.48% | 99.98% | 19.48% | 0.33 | | | -76.37% | 1.88% | -78.18% | -0.65 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 24.04% | 27.56% | 65.31% | 0.39 | | | -68.42% | -66.44% | -32.96% | -0.57 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 6.94% | 11.61% | 14.72% | 0.13 | | | -27.82% | -82.73% | -20.78% | -0.39 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 61.00%

Label	Accuracy	Recall	Precision	F1
	96.05%	96.22%	99.82%	0.98
ground	52.67%	53.72%	86.74%	0.58
	-43.38%	-42.51%	-13.08%	-0.40
	81.40%	96.58%	83.51%	0.89
low_vegetation	25.18%	76.44%	31.03%	0.40
	-56.22%	-20.14%	-52.48%	-0.49
	53.55%	96.78%	56.46%	0.61
building	26.32%	45.65%	49.74%	0.42
	-27.23%	-51.13%	-6.72%	-0.19
	40.06%	89.17%	42.57%	0.57
human_made_object	23.03%	25.67%	55.45%	0.35
	-17.02%	-63.49%	12.88%	-0.22

[HeDo88TH]

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