This is a RT-DETR V2 model fine tuned for object detection of 64 weed seed species related to the regulated REGAL species.
Agrostemma githago
Agrostis canina
Ambrosia artemisiifolia
Ambrosia psilostachya
Ambrosia trifida
Anthoxanthum aristatum
Anthoxanthum odoratum
Apera spica-venti
Asclepias syriaca
Asclepias tuberosa
Avena fatua
Avena sativa
Bassia scoparia
Berteroa incana
Brassica juncea
Brassica napus
Bromus hordeaceus
Bromus inermis
Bromus japonicus
Bromus secalinus
Buglossoides arvensis
Calystegia sepium
Carduus nutans
Centaurea calcitrapa
Centaurea diffusa
Centaurea melitensis
Centaurea solstitialis
Centaurea stoebe
Cirsium arvense
Cirsium vulgare
Conringia orientalis
Convolvulus arvensis
Cuscuta gronovii
Cyclachaena xanthiifolia
Fallopia convolvulus
Galeopsis tetrahit
Galium aparine
Gypsophila vaccaria
Iva axillaris
Lithospermum officinale
Lolium persicum
Lolium temulentum
Neslia paniculata
Polygonum aviculare
Saponaria officinalis
Silene latifolia
Silene noctiflora
Silene vulgaris
Sinapis alba
Sinapis arvensis
Solanum americanum
Solanum carolinense
Solanum elaeagnifolium
Solanum emulans
Solanum nigrum
Solanum rostratum
Sonchus arvensis
Thlaspi arvense
Tripleurospermum inodorum
Tripleurospermum maritimum
Vicia americana
Vicia cracca
Vicia villosa
Viola arvensis
Developed by: CFIA AI Lab and Seed Lab
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: RT DETR V2 Transformer
Language(s) (NLP): [More Information Needed]
License: MIT
Finetuned from model [optional]: PekingU/rtdetr_v2_r50vd
Model Sources [optional]
Repository: cfia-ai-lab/rtdetr_v2_r50vd-64spp-ft
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Demo [optional]: [More Information Needed]
Uses
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
