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31 to 40 of 993 Results
usability_cont_X_train.csv
May 15, 2025 - Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Comma Separated Values - 4.3 KB - MD5: 23593ca7d627c778b4aba0faad0ed639
validity_X_test.csv
May 15, 2025 - Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Comma Separated Values - 989.1 KB - MD5: 51e8227df41c993aee31e94213bcf2b4
validity_X_train.csv
May 15, 2025 - Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Comma Separated Values - 3.9 MB - MD5: ab2910a4c9d2c0e0b879c4393c85b400
validity_Y_test.csv
May 15, 2025 - Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Comma Separated Values - 30.3 KB - MD5: 890c0e332f5d7d4dad26ffd04aff627d
validity_Y_train.csv
May 15, 2025 - Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Comma Separated Values - 121.3 KB - MD5: 9e2182f17f16081da76beed82b5ad2cf
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
Mar 18, 2025
Regenwetter, Lyle; Abu Obaideh, Yazan; Heyrani Nobari; Ahmed, Faez, 2024, "BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs", https://doi.org/10.7910/DVN/XMRBWN, Harvard Dataverse, V2
The dataset is comprised of 1.4 million procedurally-generated bicycle designs which are represented parametrically, as JSON files, and as rasterized images. The dataset is created through the use of a rendering engine which harnesses the BikeCAD software to generate vector graphics from parametric designs. This rendering engine is discussed in the...
embeddings_float16.npy
Mar 18, 2025 - BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
Unknown - 1.3 GB - MD5: d1dea19ece9c7bcc0c8682a098925407
Low-precision version of embeddings (numpy array)
DrivAerNet++: Annotations
DrivAerNet++: Annotations
Feb 22, 2025 - DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Elrefaie, Mohamed, 2025, "DrivAerNet++: Annotations", https://doi.org/10.7910/DVN/CAWRXI, Harvard Dataverse, V1
In addition to the CFD simulation data, our dataset includes detailed annotations for various car components (29 labels), such as wheels, side mirrors, and doors. These annotations are instrumental for a range of machine learning tasks, including classification, semantic segmentation, and object detection. The comprehensive labeling can also facili...
E_S_WWC_WM.zip
Feb 22, 2025 - DrivAerNet++: Annotations
ZIP Archive - 11.8 GB - MD5: not available in dataverse
E_S_WW_WM.zip
Feb 22, 2025 - DrivAerNet++: Annotations
ZIP Archive - 12.0 GB - MD5: not available in dataverse
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