100 objects are planned for inclusion in this dataset. Each object is captured by 514 images taken from viewpoints distributed evenly across a hemisphere. The dataset, authored by siaih22, was last updated on Hugging Face in April 2026.
Use Cases
- Train neural radiance field (NeRF) models based on the multi-view image sequences.
- Develop 3D shape reconstruction algorithms based on the laser scanner meshes.
- Test high dynamic range (HDR) image processing techniques based on the provided EXR format images.
- Benchmark view synthesis quality based on the dense, hemispherical viewpoint coverage.
Strengths
- Each object is captured by 514 images, providing dense viewpoint coverage.
- Images are provided in both standard JPG and high dynamic range EXR formats.
- Data is supplemented with laser scanner meshes for each object.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and total file size are unknown, which may limit suitability assessment.
- The description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- siaih22 on Hugging Face.
- Collection Method
- Images captured from viewpoints distributed across a hemisphere, supplemented with laser scanner meshes.
- Time Range
- null
- Freshness
- Last updated 2026-04-11 08:56:51; freshness should be verified.
- Geography
- null