Model Card for swin-large-patch4-window12-384-in22k-64spp-ft

Model Details

Model Description

• 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: SWIN Transformer
• Language(s) (NLP): [More Information Needed]
• License: MIT
• Finetuned from model [optional]: microsoft/swin-large-patch4-window12-384-in22k

Model Sources [optional]

• Repository: cfia-ai-lab/swin-large-patch4-window12-384-in22k-64spp-ft
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

Downstream Use [optional]

Out-of-Scope Use

Bias, Risks, and Limitations

Recommendations

How to Get Started with the Model

Training Details

Training Data

Training Procedure

Preprocessing [optional]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

Evaluation

Testing Data, Factors & Metrics

Testing Data

Factors

Metrics

Results

Summary

Model Examination [optional]

Environmental Impact

• Hardware Type: [More Information Needed]
• Hours used: [More Information Needed]
• Cloud Provider: [More Information Needed]
• Compute Region: [More Information Needed]
• Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

Compute Infrastructure

Hardware

Software

Citation [optional]

Glossary [optional]

More Information [optional]

Model Card Authors [optional]

Model Card Contact