6,981 to 6,990 of 8,623 Results
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
MS Excel Spreadsheet - 89.6 KB -
MD5: 915aef08be4b5b72f5a4f8cbc2174b2a
Frame and Video metadat file containing image and video names, paths and text-descriptions/labels. |
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
ZIP Archive - 3.7 GB -
MD5: 676f1ef6d598332fb985609e124734b4
Folder containing images and videos |
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
ZIP Archive - 3.3 MB -
MD5: 40d912cdb695f742da209889f53ff74e
Colorchecker and checkerboard images/video for camera calibration |
Jun 14, 2024
Tabassum, Shaira; Amirshahi, Seyed Ali, 2024, "NeRF-4Scenes: A Video Dataset for Subjective Assessment of NeRF", https://doi.org/10.18710/LFHFJN, DataverseNO, V1
The dataset contains 36 NeRF-generated videos captured from four different indoor and outdoor environments: S1 for outdoor, S2 for auditorium, S3 for classroom, and S4 for lounge entrance. Each scene is trained using three NeRF models: Nerfacto as M1, Instant-NGP as M2, and Volinga as M3. Finally, each trained scene is rendered on three customized... |
ZIP Archive - 1.4 GB -
MD5: 83cc7e343559ad1b1f1542d8ef9993aa
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Adobe PDF - 4.7 MB -
MD5: 7dc0c99d121cd508561a743355a25f86
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Feb 24, 2025
Garcia Capel, Luis E; Hardeberg, Jon Yngve, 2025, "Colourlab Image Database: Imai’s ColorCheckers (CID:ICC)", https://doi.org/10.18710/K7ZFM5, DataverseNO, V1
Dataset originally published together with related publication in 2014, then republished in DataverseNO in 2025. Dataset contains supplementary data for related publication, in the form of sample scenes with color checker (43 JPEG Image files). |
Feb 24, 2025 -
Colourlab Image Database: Imai’s ColorCheckers (CID:ICC)
Plain Text - 1.7 KB -
MD5: f30093fa1b919caa3c8f428f17e7298a
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Feb 24, 2025 -
Colourlab Image Database: Imai’s ColorCheckers (CID:ICC)
ZIP Archive - 245.5 MB -
MD5: d68a6fa909c61608c1e50aa2eb233a59
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May 10, 2024
Vats, Anuja, 2024, "Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations", https://doi.org/10.18710/HSMJLL, DataverseNO, V1
The dataset comprises the pretraining and testing data for our work: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. The pretaining data consists of images corresponding to the Digital Surface Models (DSM) and Digital Terrain Models (DTM) obtained from Norway, with a groun... |
