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Search datasets and models
by image similarity


Project Type
Object Detection
Classification
Instance Segmentation
+3

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


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Custom

Try M6x16 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": "m6x16"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top M6x16 Datasets and Models

The datasets below can be used to train fine-tuned models for m6x16 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

My First Project project thumbnail
Instance Segmentation

My First Project

by Omsa

4.46k images
SM-HRD-LMC001SM-HRD-LMC002SM-HRD-LMC003SM-HRD-LMC004SM-HRD-LMC005SM-HRD-LMC006SM-HRD-LMC007SM-HRD-LMC009SM-HRD-LMC010SM-HRD-LMC012SM-HRD-LMC013SM-HRD-LMC014SM-HRD-LMC128SM-HRD-LMC129SM-HRD-LMC130SM-HRD-LMC131SM-HRD-LMC132SM-HRD-LMC133SM-HRD-LMC134SM-HRD-LMC135
14 project thumbnail
Object Detection

14

by s Workspace

1.99k images
nutwasher03_station04_station11_station12_station13 station_113 station_213_station14 station14_stationM3X8M4X12M4X16M6X16MS3057-10AMS3057-12AMS3106A18-21SMS3106A20-27STP_bypass_connector
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