360 Equirectangular Spatial Video Datasets
8K 360° spherical equirectangular video streams with synchronized 6DoF camera pose graphs for NeRF and 3D Gaussian Splatting.
Quality & Precision Benchmarks
VIDEO RESOLUTION
8K 360° Spherical @ 30fps
CAMERA POSE PRECISION
< 1.2cm Trajectory Error
STITCHING ARTIFACTS
< 0.01% Optical Seams
SLA TURNAROUND
< 24 Hours Express
Dataset Taxonomy & Output Structure
equirectangular_frame_id (8K Spherical Frame Latch)
camera_pose_6dof (Sub-Centimeter X,Y,Z & Quaternion)
stitching_error_metric (Optical Flow Stitch Delta)
privacy_blur_mask (Automated Face & Plate Blurring)
hdr_ev_exposure (Multi-Exposure Bracketing)
Specific Type Tasks & Applications
- • 3D Gaussian Splatting Environment Reconstruction
- • VR & Spatial Computing Immersion
- • 360° Vision Object Detection & Tracking
What Is Right vs What Is Wrong
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: Unstitched raw fisheye frames requiring complex post-processing before NeRF model training | PASS: Pre-stitched 8K equirectangular video streams with sub-pixel optical flow alignment |
| FAIL: Unblurred facial PII in public 360 scans exposing enterprise clients to GDPR privacy fines | PASS: 100% Automated face and license plate blurring applied directly to all equirectangular frames |
Files & SLAM Data Example (Python)
import open3d as o3d
# Load Blue Projects SLAM Dataset Type: 360 Equirectangular Spatial Video Datasets
pcd = o3d.io.read_point_cloud("360-equirectangular-spatial-video-datasets_scan.pcd")
print("Point Cloud Count:", len(pcd.points))
Why Blue Projects for 360 Equirectangular Spatial Video Datasets?
Request a free matched 10,000 sq ft 360 SLAM point cloud mesh and 8K equirectangular video sample batch.
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