GrazPedWri-DX: Pedestrian Detection Images in YOLOv11 Format

GrazPedWri-DX is a dataset converted to the YOLOv11 object detection format. The dataset likely contains images for training and evaluating pedestrian detection models. It is published on Kaggle, but specific details on size, author, and update date are unavailable.

Use Cases

• Train a YOLOv11 model for pedestrian detection (inferred from domain, verify after download)
• Benchmark object detection performance on pedestrian imagery (inferred from domain, verify after download)
• Fine-tune a pre-trained detector for specific pedestrian attributes (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active machine learning community.
• Data is pre-converted to a standard YOLOv11 format, which may reduce preprocessing effort.

Limitations

• Metadata is minimal; actual content, size, and annotation quality require verification after download.
• Row count, file formats, and license are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Kaggle

Collection Method

Converted from the GrazPedWri-DX dataset.

Time Range

null

Freshness

Last updated date is unknown; freshness unverified.

Geography

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