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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 Silinder 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": "silinder"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Silinder Datasets and Models

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

CYLINDER AND CUBE project thumbnail
Object Detection

CYLINDER AND CUBE

by 3rpannnn

399 images
0CYLINDER-AND-CUBE-g937kubussilinder
obb_mini_things project thumbnail
Instance Segmentation

obb_mini_things

by uji coba yolov8

804 images
Arduino-NanoBalok-Hijau-1002525Balok-Hijau-1005025Balok-Jingga-1002525Balok-Jingga-1005025Balok-Kuning-1002525Balok-Kuning-1005025Balok-Merah-1002525Balok-Merah-1005025Cutter-BesarCutter-KecilDesoldering-PumpESP32-DevKitESP32C3-DevKitESP32C3-XiaoESP32S3-DevkitESP8266-NodeMCUGuntingKubus-Hijau-505050Kubus-Jingga-505050
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