1. Decade-long Expertise: We have almost 10 years of experience in developing machine learning-based systems for image recognition and classification of living beings, including plants, insects, mushrooms, and more.
2. Collaboration with Domain Experts: We collaborate with knowledgeable domain experts for each of these groups. They have helped us annotate hundreds of thousands of images, and their invaluable insights help us design our products.
3. Cutting-edge Technology: We keep up with the latest research and trends in the world of machine learning. This enables us to develop world-class machine learning models, even in such a rapidly evolving field.
4. Ease of Integration & Maintenance: Our products are designed to be easy to integrate and maintain. We provide dedicated support and extensive code examples to facilitate a smooth implementation process.
5. Reliability & Security: We guarantee excellent uptime, efficient traffic management, and high levels of data security and compliance.

Once you sign up for the API access, you will automatically receive 100 free credits for testing to get you started.
The identifications are credit-based. Each successful identification deducts a credit from the account, and if you are using the Health Assessment feature, another credit is taken.

The cost of obtaining plant information from the Detail endpoints (for plants, mushrooms, insects) using the Search feature is 0.5 credits.

No credits are taken for calling our endpoint for retrieval and deleting of the identification, obtaining usage info, sending feedback, and searching endpoint.

The price range per credit is €0.05 (€50 for 1000 credits) to €.01 (€10 for 1000 credits), depending on the volume of credits purchased.

We offer special pricing for beneficiary projects. We offer pre-paid pricing, where the credits are purchased in advance and deducted accordingly from your account. The second option is retroactive pricing, where you pay only for the actual credits used, and receive an invoice from us automatically at the beginning of each month. This pricing is based on special requirements. Please contact us at business@kindwise.com if you wish to discuss the above.

We don't require long-term contractual commitments or minimum usage requirements. However, we are open to negotiating such commitments if you would like to achieve a better price per credit.

We are doing our best to keep downtime to a minimum. API incidents are listed here.

If we do not meet the guaranteed targets in a given calendar month, the performance degradation percentage will be deducted from the API availability as stated in our SLA.

When we deploy a new version of the system (about twice a month) we are unavailable for about 20 s. This is manifested by the API returning a code indicating its inaccessibility. 

For businesses using our products, we have the following:

• Terms and conditions
• Service level agreement

For end users, who are using this website and demo sites, we have the following:

• Privacy policy

• Submit photos of a focused and well-lit object. 
• Photos should be in good quality and resolution, but not too large to avoid delays.
• A general view of the object in one photo and various details (such as flowers or fruit) in the other photos works best.
• Include GPS coordinates (latitude and longitude) and time (datetime), see for example the Plant.id documentation.

Do you have specific needs? We are flexible: we can build a specific model explicitly focused on your use case - for example, Mediterranean crops, Canadian weeds, or European trees. If you have your own data set, we can even use it to improve the model.

In the Admin panel, you can see an identification time (guaranteed by the SLA) per each request. However, this time value does not take into account the pre-processing of the image (downscaling the resolution). This is why the measured response time is higher than the identification time.

Normally, the response time is around 400–600 miliseconds per each photo provided within request. Also network transaction delay adds addtional 200–2,000 ms based on the network condition, transmission caching status and client location.

You can reduce this delay by resizing the image before the submission. For the fastest response, resize the images so that the longer side is 800 px. You can also use an /identify endpoint to include the identification directly in the response to your request to save a second or two.

Additionaly you shoud make sure you are not exceeding the limits defined in SLA. If you do such requests are processed with lower priority.

In special cases, you may ask us for a dedicated ML model on business@kindwise.com which can run in the region of your choice and won't be affected by other traffic.

Providing suitable image size is essential for obtaining maximum from our APIs. Too low resolution can harm model accuracy; too high resolution increases response time. Optimal resolution is between 1MP and 2MP (megapixels).

The identification models do not always use the full resolution of the image. The exact resolution that is used can vary between different systems (e.g. plant and insect identification) and between different versions of a model.

Therefore, large images will only slow down image processing and overall API response time and will not benefit model accuracy. Images should never be larger than 2MP (e.g. 2000×1000 or ~1600×1250). There is also no response time guarantee for large images in our SLAs.

Yes, we do:

• Plant.id and Health Assessment: (docs, web)
• Mushroom.id (docs, web)
• Insect.id (docs, web)

Compatibility is ensured by the widely adopted REST API https-based protocol. Easy integration is allowed by the Postman tool which generates client code examples in 30+ programming languages.

We do have a demo version available for all of our products:

• Plant.id (with Health Assessment)
• Insect.id
• Mushroom.id

You can register there and test the identification process, without actually creating and implementing the API key to your project. Each demo has 10 identifications per month.

The results will show only some of the details that you can receive during the identification process. You can specify the particular details in the API call.

We have Python SDK to help integrate our products: plant, insect, and mushroom identification.

You will need a separate API key for each of our products (Plant.id, Insect.id and Mushroom.id). However, you can use both Plant.id Species Identification and Health Assessment with a single API key.

Yes, we do have an intuitive dashboard where you can manage your API keys, purchase credits, monitor your traffic, or even display individual identification.

The average latency is 176ms. Details can be found at our status page.

If distance to our datacenter is an issue (transaction delay), we can (for a fee) run the dedicated duplicate of our infrastructure in another location. We can share best practices for keeping the connection alive to minimize transaction delay.

If the SLA is met, we guarantee the following:

• API availability: > 99.5%
• Maximum time for processing one identification request: < 10 s per photo
• Identification answer availability: at least 3 months from submission of the request

We enforce the use of https (TLS) for both API communication and Admin Panel usage. The client is authorized by a secret token unique to each API key.

For photos, we use Google Cloud Storage.

For relational data, we use managed database on DigitalOcean.

Access to both of the services is limited to dedicated ops personnel and authorized clients, IAM policy is enforced and server-side encryption is enforced.

Our API offers a unique feature: along with the identification result, it displays similar-looking images to the submitted photo(s). These images are dynamically selected based on their similarity to the photos uploaded by the end user. This allows the customer to easily compare and verify the suggested identification. This feature has been shown to significantly improve user satisfaction. Watch the video tutorial.

The feature can be used by the similar_images parameter.

Let us illustrate on dandelion:

There are three different identifications of three different photographs of a dandelion. The first shows a fluffy ball of seeds, the second a plant in full bloom, and the third a rosette of leaves. You are welcome to use our images in your application, we provide you with a licence to do so. 

Full lists are considered our trade secrets. We do not provide them publicly, but only in response to well-founded requests and after the signing of an NDA.

In general, we provide our clients with content that is mostly in the public domain. The only exception is similar images that are owned by us. 70% of these images are subject to a license described in our T&C. The remaining 30% are images under the CC-BY license, which requires that the author’s name and license name be included with the image. Sometimes the license doesn’t allow any kind of remixing (indicated by the SA element).

We have made sure that all content can be used for commercial purposes. Details of the license can be found in our terms and conditions.

We are currently working with no more than these licenses:

• CC0
• CC BY 2.0, CC BY 2.5, CC BY 3.0, CC BY 4.0
• CC BY-SA 2.0, CC BY-SA 2.5, CC BY-SA 3.0, CC BY-SA 4.0