Add toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 94.21% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 23.49% | 40.09% | 36.21% | 0.38 | | | -43.46% | -54.98% | -33.15% | -0.42 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 15.42% | 45.42% | 18.93% | 0.27 | | | 0.78% | -54.14% | 4.28% | 0.01 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 94.39% | 96.64% | 97.59% | 0.97 | | | 0.33% | 2.52% | -2.34% | 0.00 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 48.63% | 48.84% | 99.13% | 0.65 | | | 3.28% | -35.15% | 49.49% | 0.03 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 29.91% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 20.16% | 99.98% | 20.16% | 0.34 | | | -75.69% | 1.88% | -77.50% | -0.64 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 31.59% | 34.29% | 80.02% | 0.48 | | | -60.87% | -59.70% | -18.24% | -0.48 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 13.12% | 13.71% | 75.37% | 0.23 | | | -84.91% | -84.61% | -24.33% | -0.76 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 1.48% | 1.65% | 12.10% | 0.03 | | | -33.29% | -92.70% | -23.40% | -0.49 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 62.06%

Label	Accuracy	Recall	Precision	F1
	81.40%	96.58%	83.51%	0.89
low_vegetation	21.83%	70.03%	28.18%	0.36
	-59.57%	-26.55%	-55.33%	-0.53
	53.55%	96.78%	56.46%	0.61
building	23.51%	39.86%	49.48%	0.37
	-30.04%	-56.92%	-6.98%	-0.23
	96.05%	96.22%	99.82%	0.98
ground	53.76%	55.18%	86.48%	0.60
	-42.29%	-41.04%	-13.34%	-0.38
	40.06%	89.17%	42.57%	0.57
human_made_object	25.05%	25.24%	55.61%	0.34
	-15.00%	-63.92%	13.04%	-0.23

[HeDo88TH]

!skip

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.63% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 47.63% | 48.33% | 97.05% | 0.65 | | | 2.29% | -35.65% | 47.41% | 0.02 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 27.34% | 53.55% | 35.84% | 0.43 | | | 12.70% | -46.01% | 21.19% | 0.17 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 36.39% | 43.15% | 69.90% | 0.53 | | | -30.57% | -51.92% | 0.54% | -0.27 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.85% | 99.02% | 97.79% | 0.98 | | | 2.79% | 4.90% | -2.15% | 0.01 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 39.57% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 6.36% | 8.22% | 21.94% | 0.12 | | | -28.40% | -86.13% | -13.57% | -0.40 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 44.29% | 51.43% | 76.15% | 0.61 | | | -48.17% | -42.57% | -22.12% | -0.35 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 22.79% | 99.91% | 22.80% | 0.37 | | | -73.05% | 1.81% | -74.86% | -0.61 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 23.89% | 24.66% | 88.43% | 0.39 | | | -74.15% | -73.66% | -11.27% | -0.60 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 68.10%

Label	Accuracy	Recall	Precision	F1
	40.06%	89.17%	42.57%	0.57
human_made_object	27.00%	28.28%	59.49%	0.38
	-13.06%	-60.89%	16.92%	-0.19
	53.55%	96.78%	56.46%	0.61
building	35.82%	52.49%	55.99%	0.52
	-17.73%	-44.29%	-0.46%	-0.09
	81.40%	96.58%	83.51%	0.89
low_vegetation	29.59%	71.53%	46.35%	0.45
	-51.81%	-25.06%	-37.16%	-0.44
	96.05%	96.22%	99.82%	0.98
ground	60.37%	61.84%	93.11%	0.68
	-35.68%	-34.38%	-6.71%	-0.29