Excavator Detector: Images of Construction Machinery for Object Detection

A dataset of 2,656 images split into training, validation, and test sets, last updated on Hugging Face in January 2023. It contains labeled images of construction equipment, including excavators, dump trucks, and wheel loaders. The dataset was created by user 'keremberke' and is also hosted on Roboflow.

Use Cases

• Train object detection models to identify excavators based on the labeled image data.
• Benchmark model performance on construction machinery detection using the provided test set.
• Fine-tune pre-trained vision models for specialized equipment recognition tasks.

Strengths

• Provides 2,245 images for training, which is a substantial base for model development.
• Includes a dedicated validation set of 267 images and a test set of 144 images for evaluation.
• Labels are provided for three distinct classes of construction equipment.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last updated 2023-01-16 21:43:21; freshness should be verified.

Provenance

Source

keremberke via Hugging Face and Roboflow

Collection Method

Likely contains manually or semi-automatically annotated images of construction equipment.

Time Range

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Freshness

2023-01-16 21:43:21

Geography

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