A dataset for training YOLOv8 models on pothole detection tasks. It was published on huggingface by author Ryukijano and last updated on June 1, 2023. The specific number of images, annotation format, and geographic coverage are unknown.
Use Cases
- Train an object detection model to identify potholes in road images (inferred from domain, verify after download)
- Benchmark the performance of YOLOv8 against other architectures for infrastructure inspection (inferred from domain, verify after download)
- Develop an automated system for road condition assessment (inferred from domain, verify after download)
Strengths
- Published on huggingface, a major open data platform.
- Last update timestamp (2023-06-01 05:30:22) is provided.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Ryukijano
- Freshness
- Last updated 2023-06-01 05:30:22