Datasets:

dougdotcon
/

douvras-lidar-risk-synthetic

critical_points int64 2 323	high_vegetation_points int64 4 76	id stringlengths 22 22	min_clearance_m float64 0.9 8.1	point_count int64 93 1.04k	risk_level stringclasses 4 values	risk_score float64 9.05 91.3	row_hash stringlengths 64 64	scene_id stringlengths 19 19	source_artifact stringclasses 1 value	split stringclasses 1 value	synthetic bool 1 class	vegetation_points int64 78 102	warning_points int64 5 525	wire_points int64 8 92
2	4	LIDAR-SYN-SCENE-001-01	7.9	93	low	9.05	e44ada07039685ab0f866fdeb34c18f01ccf14701b7c430f943e7f566bc5b411	LIDAR-SYN-SCENE-001	nuvem/synthetic_lidar_risk	train	true	78	5	8
5	5	LIDAR-SYN-SCENE-001-02	8	105	low	9.59	655824b6c96967a946f8d75be164c86a0c37407eba118ccce251e01d5e7b7c0d	LIDAR-SYN-SCENE-001	nuvem/synthetic_lidar_risk	train	true	80	10	10
8	6	LIDAR-SYN-SCENE-001-03	8.1	117	low	10.11	5e9ba454da27f4ce498051a5257d2ee736b1aebbdb2aae6da8573b5618dcc1a5	LIDAR-SYN-SCENE-001	nuvem/synthetic_lidar_risk	train	true	82	15	12
22	24	LIDAR-SYN-SCENE-002-01	3.9	208	attention	15.06	96790e164990a4b3921ab62ea2a9d4aeefbec2b35b3c1be959659789a517199c	LIDAR-SYN-SCENE-002	nuvem/synthetic_lidar_risk	train	true	98	65	23
25	25	LIDAR-SYN-SCENE-002-02	4	220	attention	15.5	9eb27b2e689bc30c4a6e8bbbe0451ee6aaf517722aa7908571c9888c0f4ab3fd	LIDAR-SYN-SCENE-002	nuvem/synthetic_lidar_risk	train	true	100	70	25
28	26	LIDAR-SYN-SCENE-002-03	4.1	232	attention	15.94	3671f33e6c232f06e833daf506810d10d6658e9cbfc44a3668d74bbfd1f4ac89	LIDAR-SYN-SCENE-002	nuvem/synthetic_lidar_risk	train	true	102	75	27
107	49	LIDAR-SYN-SCENE-003-01	2.1	473	warning	56.44	52ff8f5190b8133ec483893b7cae57a8efa90750b8d8d1358e949a629a4179a1	LIDAR-SYN-SCENE-003	nuvem/synthetic_lidar_risk	train	true	98	215	53
110	50	LIDAR-SYN-SCENE-003-02	2.2	485	warning	56.8	bf9a15bc507cc6334760722ff8cb2c9cf6a7320edc03574b2c3f9d9054763de9	LIDAR-SYN-SCENE-003	nuvem/synthetic_lidar_risk	train	true	100	220	55
113	51	LIDAR-SYN-SCENE-003-03	2.3	497	warning	57.16	6ce736914f027bee2610a90f0ced5da35e2206396f4da15c334d5af9f89fde91	LIDAR-SYN-SCENE-003	nuvem/synthetic_lidar_risk	train	true	102	225	57
317	74	LIDAR-SYN-SCENE-004-01	0.9	1,018	critical	91.33	4935f565645878080a96db4cb634a4a65a0b27562de107d36681c1b9286a1b94	LIDAR-SYN-SCENE-004	nuvem/synthetic_lidar_risk	train	true	98	515	88
320	75	LIDAR-SYN-SCENE-004-02	1	1,030	critical	91.25	b01fc8715e4855b9c2bd54b65c01fd72ad58203fd13222317302968670251e27	LIDAR-SYN-SCENE-004	nuvem/synthetic_lidar_risk	train	true	100	520	90
323	76	LIDAR-SYN-SCENE-004-03	1.1	1,042	critical	91.18	7f93654bc0555ddaed1077e8bfb2cdee41da4dbf5db480fb7aa555759d43b258	LIDAR-SYN-SCENE-004	nuvem/synthetic_lidar_risk	train	true	102	525	92
2	4	LIDAR-SYN-SCENE-005-01	7.9	93	low	9.05	8f43755ee49ae0f2e754a1b2b6186f68c8505985cd5669db117b08fee295fd89	LIDAR-SYN-SCENE-005	nuvem/synthetic_lidar_risk	train	true	78	5	8
5	5	LIDAR-SYN-SCENE-005-02	8	105	low	9.59	d72cd4e895db5349bc886339a3adc5144d3cc08cc447bdbb07c6e5be6d46d764	LIDAR-SYN-SCENE-005	nuvem/synthetic_lidar_risk	train	true	80	10	10
8	6	LIDAR-SYN-SCENE-005-03	8.1	117	low	10.11	455f36865aeec96c72976b495db779b5f91be0102bea4262f2790fb7cd85911f	LIDAR-SYN-SCENE-005	nuvem/synthetic_lidar_risk	train	true	82	15	12
22	24	LIDAR-SYN-SCENE-006-01	3.9	208	attention	15.06	38260fd56583d74c65db3df66d8ff2cac7d3691ad25a3e9dbe376e69bb8ecc20	LIDAR-SYN-SCENE-006	nuvem/synthetic_lidar_risk	train	true	98	65	23
25	25	LIDAR-SYN-SCENE-006-02	4	220	attention	15.5	2631fda8728c48c3776746575d947c5b28aaea111aa8d4a45cb423185c7fd525	LIDAR-SYN-SCENE-006	nuvem/synthetic_lidar_risk	train	true	100	70	25
28	26	LIDAR-SYN-SCENE-006-03	4.1	232	attention	15.94	2983b03d91bab1e667703f89fbb367409329d8bb893a4be16d72493c35aa32a0	LIDAR-SYN-SCENE-006	nuvem/synthetic_lidar_risk	train	true	102	75	27
107	49	LIDAR-SYN-SCENE-007-01	2.1	473	warning	56.44	c2d182a28c6eb85deb6cbedacc336bbc6db5f7e525e9e89c5f0987f45074872c	LIDAR-SYN-SCENE-007	nuvem/synthetic_lidar_risk	train	true	98	215	53
110	50	LIDAR-SYN-SCENE-007-02	2.2	485	warning	56.8	9d550de85bfa155034e003402e7ca46f24f843d6bd7567e7a39bd18dd83100c4	LIDAR-SYN-SCENE-007	nuvem/synthetic_lidar_risk	train	true	100	220	55
113	51	LIDAR-SYN-SCENE-007-03	2.3	497	warning	57.16	3893b307c6576a6b6d38c5c131784f3c929e9b8a61fde52bc60e67f16aa40e37	LIDAR-SYN-SCENE-007	nuvem/synthetic_lidar_risk	train	true	102	225	57
317	74	LIDAR-SYN-SCENE-008-01	0.9	1,018	critical	91.33	fa99e985f700cc6afe4b35505f08337a874744e27e8192bbd1b292739e4c1e0f	LIDAR-SYN-SCENE-008	nuvem/synthetic_lidar_risk	train	true	98	515	88
320	75	LIDAR-SYN-SCENE-008-02	1	1,030	critical	91.25	ad8d01aec47c9d7f8c415888384e9fd331ae130e9dc38245ac618ef297c0b9de	LIDAR-SYN-SCENE-008	nuvem/synthetic_lidar_risk	train	true	100	520	90
323	76	LIDAR-SYN-SCENE-008-03	1.1	1,042	critical	91.18	d6a1db16cfa9fec610b988b941e67fd645d3c06a66ebc554f3bc10a72a4c8a93	LIDAR-SYN-SCENE-008	nuvem/synthetic_lidar_risk	train	true	102	525	92
2	4	LIDAR-SYN-SCENE-009-01	7.9	93	low	9.05	bbdbf33018ebb3acc8904368fad63cbcdac717c65e28dbc8242bef6868a31b5b	LIDAR-SYN-SCENE-009	nuvem/synthetic_lidar_risk	train	true	78	5	8
5	5	LIDAR-SYN-SCENE-009-02	8	105	low	9.59	7e7c82afd6154dd56c9791789a20fe61e6d72f41da760207b4ac4ad54ae6d656	LIDAR-SYN-SCENE-009	nuvem/synthetic_lidar_risk	train	true	80	10	10
8	6	LIDAR-SYN-SCENE-009-03	8.1	117	low	10.11	b323e6f822dd4188c2e8158e3f3d64c90390cd08a1c83c26447ee269c2ae59cf	LIDAR-SYN-SCENE-009	nuvem/synthetic_lidar_risk	train	true	82	15	12
22	24	LIDAR-SYN-SCENE-010-01	3.9	208	attention	15.06	55e0bd35918daf19c5704b228d82facfe76a679d069544267d498f25df53d26f	LIDAR-SYN-SCENE-010	nuvem/synthetic_lidar_risk	train	true	98	65	23
25	25	LIDAR-SYN-SCENE-010-02	4	220	attention	15.5	fea945a3303345a8659a4f89907920f774f239ae8225840ed327146ec6e84bc4	LIDAR-SYN-SCENE-010	nuvem/synthetic_lidar_risk	train	true	100	70	25
28	26	LIDAR-SYN-SCENE-010-03	4.1	232	attention	15.94	eef257ac40254e82cd3ae78399474a5cea9c2d32de2a5b751b9a5ed676f092ac	LIDAR-SYN-SCENE-010	nuvem/synthetic_lidar_risk	train	true	102	75	27
107	49	LIDAR-SYN-SCENE-011-01	2.1	473	warning	56.44	a522b3edae54e2899ad9d8e41e8359a46a5b23848842f25051192fb769ec9a20	LIDAR-SYN-SCENE-011	nuvem/synthetic_lidar_risk	train	true	98	215	53
110	50	LIDAR-SYN-SCENE-011-02	2.2	485	warning	56.8	ac326d6fc1ef2d85305ebedee8ebad28c74cf740b863b4239a09bb92409cf51b	LIDAR-SYN-SCENE-011	nuvem/synthetic_lidar_risk	train	true	100	220	55
113	51	LIDAR-SYN-SCENE-011-03	2.3	497	warning	57.16	a24548ed71116a3bba1fd87fb167d406829021af29688356e569d382db36a7f6	LIDAR-SYN-SCENE-011	nuvem/synthetic_lidar_risk	train	true	102	225	57
317	74	LIDAR-SYN-SCENE-012-01	0.9	1,018	critical	91.33	9374d065203ae36ed0d0085678cb0e44d72931c02fcce30233ac6dea637624b3	LIDAR-SYN-SCENE-012	nuvem/synthetic_lidar_risk	train	true	98	515	88
320	75	LIDAR-SYN-SCENE-012-02	1	1,030	critical	91.25	f17a6c4689e83ea986ff66a0b3c06b643e22b013f06df9194282a6e3003365fd	LIDAR-SYN-SCENE-012	nuvem/synthetic_lidar_risk	train	true	100	520	90
323	76	LIDAR-SYN-SCENE-012-03	1.1	1,042	critical	91.18	28deb0229eae7501a4b7e44cba9f96d797753154068773e8c03bdca7544b2c0a	LIDAR-SYN-SCENE-012	nuvem/synthetic_lidar_risk	train	true	102	525	92

Douvras LiDAR Risk Synthetic v0.1

Benchmark tabular sintético de risco em corredores LiDAR. Cada linha representa estatísticas resumidas de uma cena (clearance, densidade de pontos, vegetação e fios) e um rótulo low, attention, warning ou critical produzido por uma regra explícita.

As cenas são disjuntas entre train, validation e test (36/12/12 registros). Não há imagens aéreas, nuvens de pontos de clientes ou dados TTPLA neste release. O benchmark serve para validar o pipeline e o contrato de risco, não para afirmar capacidade de detecção de objetos ou segurança operacional.

Proveniência

Gerado por nuvem/synthetic_lidar_risk/build_dataset.py; consulte metadata.json e provenance.json para hashes, escopo e licença.

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Collection including dougdotcon/douvras-lidar-risk-synthetic

Douvras Labs datasets and models

Collection

Synthetic Douvras Labs artifacts. Cards list license, splits, baseline and limits. M01 weights and D20 stay unpublished. • 342 items • Updated 11 days ago