Universe

Electronic Component Recognition Computer Vision Dataset

bySoumits WorkspaceTask:
Classification
License:CC BY 4.0
See all 410 imagesElectronic Component Recognition Electronic-Component-Recognition sample showing ESP32Electronic Component Recognition Electronic-Component-Recognition sample showing ESP32-CAMElectronic Component Recognition Electronic-Component-Recognition sample showing DHT11Electronic Component Recognition Electronic-Component-Recognition sample showing Arduino-UnoElectronic Component Recognition Electronic-Component-Recognition sample showing Arduino-UnoElectronic Component Recognition Electronic-Component-Recognition sample showing ESP32-CAMElectronic Component Recognition Electronic-Component-Recognition sample showing Arduino-UnoElectronic Component Recognition Electronic-Component-Recognition sample showing Soil-Moisture-SensorElectronic Component Recognition Electronic-Component-Recognition sample showing ESP32Electronic Component Recognition Electronic-Component-Recognition sample showing Arduino-UnoElectronic Component Recognition Electronic-Component-Recognition sample showing ESP32-CAMElectronic Component Recognition Electronic-Component-Recognition sample showing Arduino-Uno

About Electronic Component Recognition Dataset

A description for this project has not been published yet.

Use Free Arduino-Uno, DHT11 and ESP32 Detection API

Powered by general detection model

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": "Arduino-Uno, DHT11, ESP32, ESP32-CAM, Soil-Moisture-Sensor"
  },
  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 

Cite This Project

LicenseCC BY 4.0

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

@misc{ electronic-component-recognition-sk4ef_dataset,
  title = { Electronic Component Recognition Dataset },
  type = { Open Source Dataset },
  author = { Soumits Workspace },
  howpublished = { \url{ https://universe.roboflow.com/soumits-workspace/electronic-component-recognition-sk4ef } },
  url = { https://universe.roboflow.com/soumits-workspace/electronic-component-recognition-sk4ef },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More