liaopeiyuan/TransferDet

This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)

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Emerging

This solution helps agricultural researchers and farmers accurately count wheat heads in field images. It takes images of wheat fields as input and outputs precise bounding box detections for each wheat head, enabling efficient crop yield estimation and disease monitoring. Anyone involved in agricultural research, crop science, or large-scale farming operations who needs to analyze wheat growth would find this useful.

No commits in the last 6 months.

Use this if you need to reliably detect and count individual wheat heads within photographs to assess crop density or health.

Not ideal if your primary goal is to identify other plant features or if you require real-time, in-field detection on resource-constrained devices without prior model training.

agriculture crop-science yield-estimation plant-phenotyping farming
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

88

Forks

19

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 10, 2023

Commits (30d)

0

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