HOT3D-Clips: Curated Sub-Sequences for 3D Object Detection

HOT3D-Clips is a set of curated sub-sequences from the HOT3D dataset, hosted on Hugging Face by bop-benchmark. The repository was last updated on 2025-09-29. Documentation and Python utilities for loading, undistorting fisheye images, and rendering are provided via the HOT3D Toolkit.

Use Cases

• Training 3D object detection models based on sequences of fisheye imagery.
• Benchmarking 6D object pose estimation algorithms using the curated sub-sequences.
• Developing or testing utilities for undistorting and rendering fisheye camera images.
• Conducting research on object detection in challenging, wide-angle visual environments.

Strengths

• Data is curated, suggesting a focus on quality and relevance for specific tasks.
• Associated with the BOP (Benchmark for 6D Object Pose Estimation) challenge, indicating a standard benchmark context.
• Provides dedicated Python utilities for data loading and fisheye image processing.

Limitations

• Description metadata is limited; actual data quality, scale, and specific content require manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.

Provenance

Source

bop-benchmark

Collection Method

Curated from the full HOT3D dataset; specific collection method not detailed.

Freshness

Last updated 2025-09-29 20:01:49; freshness should be verified.