JC0008_original_inner Computer Vision Dataset

byNguyn TrnTask:
Semantic Segmentation
License:CC BY 4.025 views1 download

About JC0008_original_inner Dataset

Here are a few use cases for this project:

  1. Industrial Quality Control: This model can be utilized to automate quality checks in industrial settings. It can be used to verify whether the correct amount and types of items (like black rocks) are present in specific sections of a tray, identifying instances that deviate from set standards.

  2. Mineral and Gemstone Sorting: In the gemstone or mining industry, this model can be used to automate the sorting process of different mineral types present in a tray, based on their physical characteristics.

  3. Archaeological Classification: Archaeologists often work with huge collections of items. This model could potentially identify and sort various relics or artifacts placed in a tray based on their classification, aiding in the cataloging process.

  4. Automate Planting in Nurseries: In nurseries or farming, this model could be used to identify and manage the distribution of different types of seeds or saplings placed in tray sections, streamlining the planting process.

  5. Pharmaceutical Packing: In the pharmaceutical industry, different types of pills or capsules could be placed in tray sections for packing. The model can identify any errors in the packing process, avoiding potential health risks.

Use Free Tray and Section 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": "tray, section"
  },
  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{ jc0008_original_inner_dataset,
  title = { JC0008_original_inner Dataset },
  type = { Open Source Dataset },
  author = { Nguyn Trn },
  howpublished = { \url{ https://universe.roboflow.com/nguyn-trn/jc0008_original_inner } },
  url = { https://universe.roboflow.com/nguyn-trn/jc0008_original_inner },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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