Universe

All resistor Computer Vision Dataset

by0415 AI image recognition technologyTask:
Object Detection
License:CC BY 4.0

How to use the All resistor Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="0415-ai-image-recognition-technology/all-resistor-instant-1")
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Or, Use Free Resistor and Te Detection API

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Code
pip install inference-sdk
# 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": "resistor, te"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 
See all 100 imagesAll resistor te sampleAll resistor te sampleAll resistor te sample showing resistorAll resistor te sampleAll resistor te sampleAll resistor te sampleAll resistor te sampleAll resistor te sampleAll resistor te sampleAll resistor te sampleAll resistor te sampleAll resistor te sample

About All resistor Model

A description for this project has not been published yet.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ all-resistor_dataset,
  title = { All resistor Dataset },
  type = { Open Source Dataset },
  author = { 0415 AI image recognition technology },
  howpublished = { \url{ https://universe.roboflow.com/0415-ai-image-recognition-technology/all-resistor } },
  url = { https://universe.roboflow.com/0415-ai-image-recognition-technology/all-resistor },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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