Universe

Product_it Computer Vision Model

byITSQProductTask:
Object Detection
License:MIT110 views6 downloads

How to use the Product_it Detection API

Try This Model

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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="product_it/1")
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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": "Bottle, bottle, Mask, mask, Chair"
  },
  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 8.3k imagesProduct_it Product sample showing MaskProduct_it Product sampleProduct_it Product sample showing Mobile_CaseProduct_it Product sample showing iPhone_14ProMaxProduct_it Product sample showing BreadProduct_it Product sample showing CutterProduct_it Product sample showing BreadProduct_it Product sampleProduct_it Product sample showing CutterProduct_it Product sample showing BottleProduct_it Product sample showing FoodContainerProduct_it Product sample

About Product_it Model

Here are a few use cases for this project:

  1. E-commerce Inventory Management: The "Product_it" model could be helpful for e-commerce companies to automate their inventory management process. The model can classify stock photos into respective categories such as 'Bread', 'BarChair', 'iPad_Pro11', and so on. This can help companies accurately track and manage stock levels of their different products.

  2. Retail Store Automation: This model can be used in retail stores for automatic item identification at checkout points. It avoids the need for manual barcode scanning and can swiftly identify multiple items, even differentiating between different models of the same product (e.g., iPhone_14ProMax vs iPhone_13mini).

  3. Automated Surveillance: The model can also help in situations requiring surveillance, able to identify things like "HiViewCCTV", "SonyCCTV", "DahuaCCTV", and coin-operated games. This could be useful in both security and customer behavior studies in public places like malls and arcades.

  4. Household Management: This model could be applied in a smart home context, automatically identifying and cataloging belongings to aid in organization or insurance processes. It could identify everything from electronics (like iPads, speakers, or laptops) to smaller personal items (like hand cream or tissues).

  5. Health Care and Rehabilitation: The model could assist in healthcare and rehabilitation processes, as it's capable of identifying body parts (like 'Knee', 'Elbow', 'TwistedAnkle'). This could facilitate the development of rehabilitation exercises or tools that detect and analyze motion based on these body parts.

Cite This Project

LicenseMIT

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

@misc{ product_it_dataset,
  title = { Product_it Dataset },
  type = { Open Source Dataset },
  author = { ITSQProduct },
  howpublished = { \url{ https://universe.roboflow.com/itsqproduct/product_it } },
  url = { https://universe.roboflow.com/itsqproduct/product_it },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

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