OpenLogo: A Collection of 27,083 Logo Images for Detection Tasks

OpenLogo is a FiftyOne dataset containing 27,083 samples of logo images. It was created by Voxel51 and was last updated on HuggingFace in May 2026. The dataset is intended for computer vision tasks related to logo identification.

Use Cases

• Train logo detection models based on the collection of logo images.
• Benchmark brand recognition algorithms based on the visual dataset.
• Develop visual search systems for logos based on the image samples.
• Fine-tune object detection models for commercial symbols based on the dataset content.

Strengths

• Contains 27,083 samples, providing a substantial base for model training.
• Hosted on the HuggingFace platform, facilitating easy access and integration.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Voxel51

Collection Method

Likely aggregated or curated from various sources for logo detection tasks.

Time Range

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Freshness

Last updated 2026-05-19 20:03:22; freshness should be verified.

Geography

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