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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:
alkaline_0alkaline_1alkaline_10alkaline_11alkaline_12

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Custom

Try 3l_4 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": "3l_4"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top 3l_4 Datasets and Models

The datasets below can be used to train fine-tuned models for 3l_4 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
alkaline_0alkaline_1alkaline_10alkaline_11alkaline_12
chess project thumbnail
Object Detection

chess

by for testing

153 images
batterybookchess3L_03L_4Baterai 9VBaterai AABatteria 9VBatteria AABatteria CBatteryBattery:Hazardousdrycelllego
cylinder0301 project thumbnail
Object Detection

cylinder0301

by National Sun Yatsen University

850 images
3L_03L_13L_103L_113L_123L_133L_143L_153L_163L_173L_183L_193L_23L_203L_213L_223L_233L_243L_253L_26
xing_rong v2 project thumbnail
Object Detection

xing_rong v2

by National Sun Yatsen University

2.95k images·1
3L_03L_13L_103L_113L_123L_133L_143L_153L_163L_173L_183L_193L_23L_203L_213L_223L_233L_243L_253L_26
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