Identify package condition
using AI
Below is a free classifier to identify package condition. Just upload your image, and our AI will predict the condition of the package - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("package-condition", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/package-condition/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/package-condition/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the condition of the package.
This pretrained image model uses a Nyckel-created dataset and has 13 labels, including Damaged Condition, Fair Condition, Functional Condition, Good Condition, Great Condition, Incomplete Condition, Like New Condition, Non-Functional Condition, Opened Condition and Poor Condition.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of the package).
Whether you're just curious or building package condition detection into your application, we hope our classifier proves helpful.
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Need to identify package condition at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Assurance in Supply Chain: This function can be utilized by manufacturers and logistics companies to automatically assess the condition of packages during transit. By identifying false images indicating damaged or substandard packaging, businesses can ensure that only compliant products reach the customer.
- Fraud Detection in E-commerce: E-commerce platforms can implement this function to examine user-uploaded images of returned packages. It helps identify false claims of damage or discrepancies in the condition of products, thereby reducing fraudulent return requests and loss of revenue.
- Inventory Management: Retailers can apply this function to monitor the condition of packaging in their warehouses. By classifying package conditions, businesses can identify which products may need repackaging and optimize their inventory turnover rates.
- Warranty Claims Processing: Service providers can use the function to evaluate images submitted for warranty claims on physical products. By determining the actual condition of packaging and products, companies can speed up claim approval and enhance customer satisfaction.
- Insurance Assessment: Insurance companies can leverage this system to assess claims for package damages during shipping. By verifying the condition of packages against reported damage through false image classification, insurance adjusters can make more accurate evaluations and decisions.
- Packaging Design Feedback: Brands can integrate this function to gather insights on how their packaging holds up in real-world conditions. By analyzing images of returned packages, businesses can make informed decisions on packaging design improvements to enhance durability and consumer experience.
- Sustainability Monitoring: Logistics and shipping companies can utilize this function to track and analyze the condition of packages returned for recycling or reuse. By identifying potential issues with package integrity, businesses can enhance their sustainability practices and reduce waste in their operations.