Vlm Object Detection

uv-scripts created this dataset for bootstrapping object-detection datasets using vision-language models. The dataset provides bounding box JSON outputs from free-form prompts, designed for integration with labelling tools like Label Studio and FiftyOne. It was last updated on May 12, 2026.

Use Cases

• Generate initial training data for custom object detectors based on free-form prompts.
• Automate labeling workflows for images containing specific items like PPE or electronic components.
• Create COCO-format datasets from unstructured image collections using natural language instructions.

Strengths

• Designed for direct integration with downstream labelling tools like Label Studio and FiftyOne.
• Enables dataset creation via flexible, free-form natural language prompts.

Limitations

• Description metadata is limited; actual data quality requires manual inspection 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

huggingface

Collection Method

Generated via vision-language models prompted with user instructions.

Freshness

Last updated 2026-05-12 13:38:12; freshness should be verified.