Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.10% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 32.20% | 40.42% | 61.27% | 0.49 | | | -34.75% | -54.65% | -8.09% | -0.31 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 39.40% | 39.48% | 99.46% | 0.57 | | | -5.95% | -44.50% | 49.82% | -0.06 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 20.68% | 44.58% | 27.84% | 0.34 | | | 6.04% | -54.98% | 13.19% | 0.09 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.34% | 98.68% | 97.59% | 0.98 | | | 2.28% | 4.57% | -2.34% | 0.01 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 23.50% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 18.51% | 99.99% | 18.51% | 0.31 | | | -77.33% | 1.89% | -79.14% | -0.67 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 0.71% | 0.74% | 16.12% | 0.01 | | | -34.05% | -93.61% | -19.39% | -0.50 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 46.87% | 60.09% | 68.06% | 0.64 | | | -45.59% | -33.90% | -30.21% | -0.32 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 1.62% | 1.63% | 67.94% | 0.03 | | | -96.42% | -96.69% | -31.76% | -0.96 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 59.80%

Label	Accuracy	Recall	Precision	F1
	81.40%	96.58%	83.51%	0.89
low_vegetation	25.36%	70.21%	39.89%	0.40
	-56.04%	-26.38%	-43.62%	-0.49
	40.06%	89.17%	42.57%	0.57
human_made_object	20.05%	20.11%	57.79%	0.29
	-20.00%	-69.06%	15.22%	-0.28
	53.55%	96.78%	56.46%	0.61
building	33.78%	52.33%	47.95%	0.49
	-19.77%	-44.44%	-8.51%	-0.12
	96.05%	96.22%	99.82%	0.98
ground	48.98%	50.16%	82.77%	0.51
	-47.07%	-46.06%	-17.05%	-0.47

[HeDo88TH]

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