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Description
368 annotated images for object detection, split into 257 training, 74 validation, and 37 test images. This dataset is part of the Roboflow 100 benchmark, which spans 7 imagery domains, and was published by LibreYOLO. It was last updated on January 20, 2026.
Use Cases
Train an object detection model to locate signatures based on the single 'signature' class annotation.
Benchmark model performance on a focused object detection task as part of the Roboflow 100 collection.
Fine-tune a pre-trained model for signature verification or document processing workflows.
Evaluate model generalization across different imagery domains using this as one of seven domain-specific datasets.
Strengths
Provides a defined train/validation/test split with 257, 74, and 37 images respectively.
Part of a larger, diverse benchmark (Roboflow 100) spanning 7 imagery domains.
Focuses on a single, clearly defined object class ('signature') for a specialized detection task.
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.
The dataset is relatively small with 368 total images, which may limit model generalization.
Provenance
Source
LibreYOLO via Hugging Face.
Collection Method
Part of the curated Roboflow 100 benchmark collection.
Freshness
Last updated 2026-01-20 21:41:29; freshness should be verified.
License is unknown; terms of use must be verified before application.