Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.08% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 18.60% | 40.68% | 25.52% | 0.31 | | | 3.96% | -58.88% | 10.87% | 0.06 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 34.36% | 45.06% | 59.12% | 0.51 | | | -32.59% | -50.00% | -10.24% | -0.29 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.37% | 98.53% | 97.77% | 0.98 | | | 2.31% | 4.41% | -2.16% | 0.01 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 40.48% | 40.92% | 97.44% | 0.58 | | | -4.87% | -43.07% | 47.80% | -0.05 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 26.21% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 36.34% | 58.02% | 49.31% | 0.53 | | | -56.12% | -35.97% | -48.95% | -0.43 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 19.77% | 99.98% | 19.77% | 0.33 | | | -76.08% | 1.88% | -77.89% | -0.65 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 5.57% | 5.62% | 87.49% | 0.11 | | | -92.46% | -92.71% | -12.22% | -0.88 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 0.27% | 0.28% | 5.66% | 0.01 | | | -34.49% | -94.07% | -29.84% | -0.51 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 61.15%

Label	Accuracy	Recall	Precision	F1
	53.55%	96.78%	56.46%	0.61
building	27.47%	49.35%	37.42%	0.42
	-26.08%	-47.43%	-19.04%	-0.18
	81.40%	96.58%	83.51%	0.89
low_vegetation	27.06%	72.52%	39.44%	0.42
	-54.34%	-24.06%	-44.07%	-0.47
	96.05%	96.22%	99.82%	0.98
ground	50.97%	52.07%	92.63%	0.54
	-45.08%	-44.15%	-7.19%	-0.44
	40.06%	89.17%	42.57%	0.57
human_made_object	20.38%	20.60%	51.55%	0.29
	-19.68%	-68.57%	8.98%	-0.28