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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d4f68543-337e-4b27-a433-31dd0cb3c3f4 | Indoor Laptop Detection | 6926d7be-c7c2-49ae-a393-5f2265838c3e | d3d91a04-ad23-40b8-8342-bec9e8fb0431 | 1 | ee6422fa-737c-4153-968a-bcaf008cc34d | d20c57f56ab38e09835a8da43ad875ff | b548d7a9-2360-44f4-baf3-892348cbb433 | Camera_01 | null | 43.455845 | fe77c1e6cb85fcd8ca38adc7161f4a68.xxh128_F1_L1_0001.png | ["albedo", "attenuation", "beauty", "depth_colored", "depth_metric", "depth_relative", "material_index", "normal_world_dx_linear", "normal_world_dx_srgb", "normal_world_gl_linear", "normal_world_gl_srgb", "normal_world_inverted_gl_linear", "normal_world_inverted_gl_srgb", "uvw"] | data/68b1dd2e7abe2b2d-fe77c1e6cb85fcd8ca38adc7161f4a68.xxh128_F1_L1_0001.png | 5e640c4871f8b0bcd8fd2e8df28bb481805291c1 | {"camera":{"image_width_px":1024,"position_world":{"x":6.403,"y":-1.27,"z":1},"focal_length_mm":43.456001,"image_height_px":1024,"sensor_width_mm":36,"sensor_height_mm":36,"rotation_matrix_3x3":[[-0.642787457,3.99e-07,0.766044557],[0.766044557,3.35e-07,0.642787457],[0,1,-5.21e-07]]},"products":{"locations":[{"sku":"RSP... | https://huggingface.co/datasets/physicl-community/depth-model-training-pack-next-pack-497ced43-6926d7be/resolve/5e640c4871f8b0bcd8fd2e8df28bb481805291c1/data/d91d8f3caf56afe5-0001.exr | |||||||||||||
e3a4854d-c225-4ea9-a99e-0629c77a7df7 | Indoor Laptop Detection | 6926d7be-c7c2-49ae-a393-5f2265838c3e | d3d91a04-ad23-40b8-8342-bec9e8fb0431 | 1 | d64aca58-08ed-4183-9e0a-f0c497892ac9 | b65d1cdb6f4663dd1a558f9f964764ae | 8bf51a78-d234-4a8c-938a-ca819ec9f42d | Camera_01 | null | 34.577679 | ef0ce94883e26990a18a4d167ef2d25f.xxh128_F1_L1_0001.png | ["albedo", "attenuation", "beauty", "depth_colored", "depth_metric", "depth_relative", "material_index", "normal_world_dx_linear", "normal_world_dx_srgb", "normal_world_gl_linear", "normal_world_gl_srgb", "normal_world_inverted_gl_linear", "normal_world_inverted_gl_srgb", "uvw"] | data/3a89afd6ba4bd051-ef0ce94883e26990a18a4d167ef2d25f.xxh128_F1_L1_0001.png | 5e640c4871f8b0bcd8fd2e8df28bb481805291c1 | {"camera":{"image_width_px":1024,"position_world":{"x":2.321446,"y":-7.532535,"z":1.024187},"focal_length_mm":34.577999,"image_height_px":1024,"sensor_width_mm":36,"sensor_height_mm":36,"rotation_matrix_3x3":[[0.709699154,-2.83e-07,-0.704504848],[-0.704504848,-2.85e-07,-0.709699154],[0,1,-4.01e-07]]},"products":{"locat... | https://huggingface.co/datasets/physicl-community/depth-model-training-pack-next-pack-497ced43-6926d7be/resolve/5e640c4871f8b0bcd8fd2e8df28bb481805291c1/data/096b78f7a9dfabf5-0001.exr | |||||||||||||
dabe699a-06d4-4445-9323-3839f69bed97 | Indoor Laptop Detection | 6926d7be-c7c2-49ae-a393-5f2265838c3e | d3d91a04-ad23-40b8-8342-bec9e8fb0431 | 1 | df4b3856-d65a-450f-9147-38df904477bc | 210bb2c1c6cd46bc26f9e971107f3ef5 | b4186db8-2ccd-46be-821d-f414a275982d | Camera_01 | null | 43.455845 | 1e32cbc73d0876ebc7e50485028481f0.xxh128_F1_L1_0001.png | ["albedo", "attenuation", "beauty", "depth_colored", "depth_metric", "depth_relative", "material_index", "normal_world_dx_linear", "normal_world_dx_srgb", "normal_world_gl_linear", "normal_world_gl_srgb", "normal_world_inverted_gl_linear", "normal_world_inverted_gl_srgb", "uvw"] | data/4a00f6f2d44e0115-1e32cbc73d0876ebc7e50485028481f0.xxh128_F1_L1_0001.png | 5e640c4871f8b0bcd8fd2e8df28bb481805291c1 | {"camera":{"image_width_px":1024,"position_world":{"x":0.764,"y":-8.236,"z":1.127},"focal_length_mm":43.456001,"image_height_px":1024,"sensor_width_mm":36,"sensor_height_mm":36,"rotation_matrix_3x3":[[0.974759877,-0.005843374,-0.223179281],[-0.223255768,-0.025512831,-0.974425972],[0,0.999657393,-0.026173452]]},"product... | https://huggingface.co/datasets/physicl-community/depth-model-training-pack-next-pack-497ced43-6926d7be/resolve/5e640c4871f8b0bcd8fd2e8df28bb481805291c1/data/1de951f106195c12-0001.exr | |||||||||||||
f6a730cc-c485-48c9-aba2-84e8d40f20bf | Indoor Laptop Detection | 6926d7be-c7c2-49ae-a393-5f2265838c3e | d3d91a04-ad23-40b8-8342-bec9e8fb0431 | 1 | d73b0090-bb05-4440-b682-876f0f2218e2 | 5af576ccd725cf29671f6b648cc66fbe | cf6f3c89-b427-40f9-ac0f-e875b17e7155 | Camera_01 | null | 28.254339 | 7419926feadb4e0409b622179eb46387.xxh128_F1_L1_0001.png | ["albedo", "attenuation", "beauty", "depth_colored", "depth_metric", "depth_relative", "material_index", "normal_world_dx_linear", "normal_world_dx_srgb", "normal_world_gl_linear", "normal_world_gl_srgb", "normal_world_inverted_gl_linear", "normal_world_inverted_gl_srgb", "uvw"] | data/9fbd836b501f9b44-7419926feadb4e0409b622179eb46387.xxh128_F1_L1_0001.png | 5e640c4871f8b0bcd8fd2e8df28bb481805291c1 | {"camera":{"image_width_px":1024,"position_world":{"x":0.692174,"y":-1.308019,"z":1.2},"focal_length_mm":28.254,"image_height_px":1024,"sensor_width_mm":36,"sensor_height_mm":36,"rotation_matrix_3x3":[[-0.751868367,-0.019338815,-0.659029543],[-0.659313262,0.02205362,0.751544893],[0,0.999569714,-0.029331757]]},"products... | https://huggingface.co/datasets/physicl-community/depth-model-training-pack-next-pack-497ced43-6926d7be/resolve/5e640c4871f8b0bcd8fd2e8df28bb481805291c1/data/a9acaf40a465919b-0001.exr | |||||||||||||
affc5746-1c97-432b-9a72-19f6707b9d7d | Indoor Laptop Detection | 6926d7be-c7c2-49ae-a393-5f2265838c3e | d3d91a04-ad23-40b8-8342-bec9e8fb0431 | 1 | bf6556e5-82e3-48c7-a573-cd86825743a5 | 2425f88478f0929ed5b7f59b612bbc8e | e791e537-03c0-4abd-b795-e5852b48fc03 | CAMERA_01 | null | 38.601124 | b6d0c806ee9c7704d9c7ecdfc3e7d9b3.xxh128_F1_L1_0001.png | ["albedo", "attenuation", "beauty", "depth_colored", "depth_metric", "depth_relative", "material_index", "normal_world_dx_linear", "normal_world_dx_srgb", "normal_world_gl_linear", "normal_world_gl_srgb", "normal_world_inverted_gl_linear", "normal_world_inverted_gl_srgb", "uvw"] | data/43371695b11b3f84-b6d0c806ee9c7704d9c7ecdfc3e7d9b3.xxh128_F1_L1_0001.png | 5e640c4871f8b0bcd8fd2e8df28bb481805291c1 | {"camera":{"image_width_px":1024,"position_world":{"x":0.26624,"y":-3.093349,"z":1.27},"focal_length_mm":38.601002,"image_height_px":1024,"sensor_width_mm":36,"sensor_height_mm":36,"rotation_matrix_3x3":[[0.170866534,1.601e-06,-0.985294163],[-0.985294163,2.78e-07,-0.170866534],[0,1,1.625e-06]]},"products":{"locations":... | https://huggingface.co/datasets/physicl-community/depth-model-training-pack-next-pack-497ced43-6926d7be/resolve/5e640c4871f8b0bcd8fd2e8df28bb481805291c1/data/ab5d01a75efd85d3-0001.exr |
Indoor Laptop Detection
Training dataset of laptops rendered across indoor home and office scenes, with RGB, albedo and metric depth plus per-frame annotations, built to train a laptop object-detection model.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync operator.
Additional render passes are exposed as URL columns, including .exr passes such as depth_metric that the dataset viewer cannot preview but that are downloadable from /data. The metadata column is the Core renderOutput.metadata value serialized as JSON, without Hugging Face-specific enrichment.
Dataset repo: https://huggingface.co/datasets/physicl-community/depth-model-training-pack-next-pack-497ced43-6926d7be
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