Sign in to view source links and access this dataset
Description
TomatoMAP is a dataset containing 68,069 samples, hosted on the Hugging Face platform by Voxel51. The dataset is packaged for use with the FiftyOne computer vision toolkit. The full description is available on the dataset page, but specific details about columns, file formats, and license are not provided in the input.
Use Cases
Object detection model training based on the likely presence of annotated tomato images.
Dataset visualization and exploration using the integrated FiftyOne App.
Benchmarking agricultural image analysis algorithms on a substantial sample size of 68,069.
Strengths
Contains 68,069 samples, providing a substantial volume for model training.
Specifically packaged for the FiftyOne computer vision toolkit, suggesting integration for visualization and analysis.
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
Freshness
Last updated 2026-07-10 16:31:09; freshness should be verified.
Requires installation of the FiftyOne Python library to load and use the dataset.