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Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

Classes

Related Objects of Interest:

ageratum conyzoides arachis hypogaea centella asiatica commelina benghalensis synedrella nodiflora

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Try Panicum Detection API

Run on custom image

Drop or click to upload

# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "panicum"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Panicum Datasets and Models

The datasets below can be used to train fine-tuned models for panicum detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:

ageratum conyzoides arachis hypogaea centella asiatica commelina benghalensis synedrella nodiflora

Project V.3 project thumbnail

Object Detection

Project V.3

by A

294 images

Ageratum conyzoides Cyperus-rotundus-L Euphorbia heterophylla Linn Ipomoea-aquatica-Forsk Mimosa-pudica-Linn Panicum repens

ArchaeobotanyAI project thumbnail

ArchaeobotanyAI

by archaeobotany

101 images1 model

wheat Panicum Unlabeled millet

PPC project thumbnail

Object Detection

PPC

by PoisonousPlantsClassification

3.27k images3 models8

Cyperus---esculentus-L Panicum repens L Portulaca oleracea L Urtica---dioica L malva parviflora

WEED 7/10/2024 project thumbnail

Object Detection

WEED 7/10/2024

by A

70 images

Ageratum-conyzoides Cyperus-rotundus-L.Euphorbia heterophylla Linn.Ipomoea-aquatica-Forsk.Mimosa-pudica-Linn.Panicum-repens

All in one project thumbnail

Object Detection

All in one

by A

165 images

Ageratum-conyzoides Cyperus-rotundus-L.Euphorbia heterophylla Linn.Ipomoea-aquatica-Forsk.Mimosa-pudica-Linn.Panicum-repens

ITCER Animalia Model project thumbnail

Object Detection

ITCER Animalia Model

by ITCER Image Datasets

748 images3 models

bag Acanthacris ruficornis (Acrididae)Acanthaspis-cf.-quinquespinosa-(Reduviidae--Acanthaspinae--Acanthaspini-)Acanthocercus ugandaensis (Agamidae)Acanthospermum-cf.-australe-(Asteraceae--Asteroideae--Millerieae-)Acanthus-polystachus-(Acanthaceae-)Acanthus-polystachus-(Acanthaceae--Acanthoideae--Acantheae-)Aceria-cf.-convolvuli-(Eriophyidae--Eriophyinae--Aceriini-)Aceria-lantanae-(Eriophyidae-)Aceria-lantanae-(Eriophyidae--Eriophyinae--Aceriini-)Achatina-sp Achatina-sp.-(Achatinidae--Achatininae--Achatinini-)Acherontia-atropos-(Sphingidae--Sphinginae--Acherontiini-)Aciptilia-sp.-(Pterophoridae--Pterophorinae--Pterophorini-)Acoloba-lanceolata-(Pentatomidae--Pentatominae--Diploxyini-)Acraea-acerata-(Nymphalidae--Heliconiinae--Acraeini-)Acraea-cabira-(Nymphalidae--Heliconiinae--Acraeini-)Acraea-cf.-oncaea-(Nymphalidae--Heliconiinae.-Acraeini-)Acraea-encedon-(Nymphalidae--Heliconiinae--Acraeini-)Acraea-encedon-encedon-(Nymphalidae--Heliconiinae--Acraeini-)

weed detection project thumbnail

Instance Segmentation

weed detection

by MKS

324 images

Plant project thumbnail

Object Detection

Plant

by A

106 images1 model4

Ageratum conyzoides Euphorbia-heterophylla-Linn.Heliotropium indicum Mimosa-pudica-Linn.Panicum-repens

Crop/Weed Segmentation project thumbnail

Instance Segmentation

Crop/Weed Segmentation

100 images

arachis hypogaea brassica gossypium lactuca panicum virgatum sorghum bicolor vaccinium weeds

Weeds_Detection_Test project thumbnail

Object Detection

Weeds_Detection_Test

3.06k images1 model

Alternanthera philoxeroide Centella asiatica Colocasia esculenta Commelina benghalensis Cyperus ochraceus Fimbristylis littoralis Ipomoea aquatica Marsilea minuta Panicum repens Paspalum scrobiculatum Pteris vittata Synedrella nodiflora

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