product_detection Computer Vision Model
How to use the product_detection Detection API
Try This Model
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Model type: Roboflow 3.0 Object Detection (Fast)
Dataset: product_detection-uhtae/3 (8311 images)
Checkpoint: COCOn
Dec 5, 2024
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_detection-uhtae/3")Give your agent everything it needs
Or, Use Free Bottle, Toothbrush and Tea 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": "Bottle, Toothbrush, tea, Juice, chocolate"
},
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
About product_detection Model
classes
Biscuits Bottle Comfort Detergent Gelatine Juice Listerine Maggi Sauce Snack Soap Soda Can Toothbrush Toothpaste chocolate facewash horlicks jam packages shampoo Bottle small bottle softdrink tea
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ product_detection-uhtae_dataset,
title = { product_detection Dataset },
type = { Open Source Dataset },
author = { work },
howpublished = { \url{ https://universe.roboflow.com/work-0or1c/product_detection-uhtae } },
url = { https://universe.roboflow.com/work-0or1c/product_detection-uhtae },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2026-07-29 },
}