Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.27% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 39.38% | 40.27% | 94.69% | 0.57 | | | -5.96% | -43.71% | 45.05% | -0.06 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 33.16% | 40.98% | 63.48% | 0.50 | | | -33.79% | -54.09% | -5.88% | -0.30 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.52% | 98.78% | 97.68% | 0.98 | | | 2.46% | 4.66% | -2.25% | 0.01 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 24.99% | 52.45% | 32.31% | 0.40 | | | 10.35% | -47.11% | 17.66% | 0.14 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 25.68% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 1.06% | 1.08% | 34.55% | 0.02 | | | -33.71% | -93.27% | -0.96% | -0.50 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 18.98% | 99.99% | 18.98% | 0.32 | | | -76.86% | 1.89% | -78.68% | -0.66 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 3.57% | 3.57% | 98.35% | 0.07 | | | -94.47% | -94.75% | -1.35% | -0.92 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 50.80% | 68.19% | 66.58% | 0.67 | | | -41.66% | -25.81% | -31.69% | -0.29 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 60.98%

Label	Accuracy	Recall	Precision	F1
	40.06%	89.17%	42.57%	0.57
human_made_object	20.22%	20.67%	64.62%	0.29
	-19.84%	-68.49%	22.05%	-0.28
	81.40%	96.58%	83.51%	0.89
low_vegetation	26.07%	70.48%	41.23%	0.41
	-55.33%	-26.10%	-42.28%	-0.48
	96.05%	96.22%	99.82%	0.98
ground	50.05%	51.18%	98.02%	0.53
	-46.00%	-45.04%	-1.80%	-0.45
	53.55%	96.78%	56.46%	0.61
building	37.89%	60.32%	49.44%	0.54
	-15.66%	-36.46%	-7.02%	-0.07

[HeDo88TH]

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