Wall Damage Images with Object Detection Annotations

A dataset of images for detecting damage on walls. The data likely contains images and corresponding object annotations for training machine learning models. It was created by Francesco and last updated on March 30, 2023.

Use Cases

• Train an object detection model to identify wall damage based on annotated images.
• Benchmark model performance on a specific visual inspection task.
• Fine-tune a pre-trained vision model for a specialized damage detection application.

Strengths

• Annotations are likely crowdsourced, which can provide diverse labeling perspectives.
• Data is stored in Parquet format, which is efficient for large-scale storage and processing.

Limitations

• Dataset size, row count, and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last updated 2023-03-30 09:29:58; freshness should be verified.

Provenance

Source

huggingface

Collection Method

Crowdsourced annotations.

Time Range

null

Freshness

2023-03-30

Geography

null