ISARLab

The Intelligent Systems, Automation and Robotics Laboratory

Depth Estimation Challenge for the Deep Learning and Robot Perception course (2024/2025)

Results on test set

Name	Metrics
	RMSE	SSIM
Logic98	2.218269580288937	0.645721993948284
dl_5357	2.3413386282167936	0.5956287054639113
dl_7872	2.385826041823939	0.5962287266003458
Maria	2.5535377514989754	0.37404824165921463
Samuele	2.560552135894173	0.6215219732962156
Robo_Davide	2.8775724517671684	0.5075783313889253
dl_6118	2.9265284538269043	0.5249794065952301
dl_4412	3.5970536658638403	0.43382428821764496
Baseline	3.658031940460205	0.2326619381967344
turbo	3.8981422185897827	0.16659155040979384
Depth map random	9.567816131993345	0.01954594279002202