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Project Type
Object Detection
Classification
Instance Segmentation
+3

Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4

Related Objects of Interest:
candy_gummieschipschocolatecoke_pepsi_ccoke_pespi_b

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Custom

Try Selection_code 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": "selection_code"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Selection_code Datasets and Models

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

Related Objects of Interest:
candy_gummieschipschocolatecoke_pepsi_ccoke_pespi_b
Accesible Vending project thumbnail
Object Detection

Accesible Vending

by Kreyes

2
2.68k images·3 models·7
chocolatejuicesandwichteawaterPayment_cardPayment_coinscandy_gummieschipscoke_pepsi_ccoke_pespi_bcookiesdrink_VMdrinks_close_VMdrinks_snacks_VMdrop_offeenergetic_drinknutsselection_code
Vending_JuneTrial project thumbnail
Object Detection

Vending_JuneTrial

by Kreyes

1
309 images·2 models·8
chocolatejuiceteawaterPayment_cardPayment_coinscandy_gummieschipschocolate_barcoke_pepsi_b_dietcoke_pepsi_ccoke_pepsi_c_dietcoke_pepsi_diet_tcoke_pepsi_tcoke_pespi_bcookiescrackersdrink_VMdrinks_close_VMdrinks_snacks_VM
VendingJuly project thumbnail
Object Detection

VendingJuly

by Kreyes

1.38k images·1 model·10
chocolatejuiceteawater0110111213141516171819220213
Showing 1 - 3 of 3
1
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