What it covers
The product types the model is trained on. Anything outside this list is handled by a neighbouring model.
In scope
Not covered
What it reads
The model reads hockey equipment through a structured taxonomy. Below are its top-level feature families. Each one breaks down into detailed parts, attributes and possible values, and some of our taxonomies go beyond 200 labels. The full taxonomy is shared during a pilot.
- 01Item form and profile
- 02Blade or face shape
- 03Shaft or handle geometry
- 04Joint and binding
- 05Material and graphics
- +Detailed parts, attributes and values within each family
Output format
Once live, the model returns the same record as every Klaimed model: the design similarity, a score for each feature, and the evidence image.
{
"model": "detect-hockey-equipment",
"listing": "site_a/8812-4410",
"similarity": 0.94,
"attributes": {
"item_form_and_profile": 0.94,
"blade_or_face_shape": 0.95,
"shaft_or_handle_geometry": 0.96,
"joint_and_binding": 0.97,
"material_and_graphics": 0.38
},
"evidence": "ev_9f3a.png"
}How teams use it
Capabilities
- Fine-grained attribute understanding
- Reads hockey equipment the way a category expert would: overall shape and proportion, the geometry of each component, material and surface character, and the specific construction features that define one design against another.
- Design-level similarity retrieval
- Given a reference product, returns the closest matches from a monitored set, ranked by design similarity rather than by colour, scene or filename.
- Feature-by-feature match explanation
- Every match comes with its reasoning: which features agree between the reference and the candidate, which diverge, and how confident each comparison is.
- Stable across how the product was photographed
- The same design retrieves consistently whether it was shot as a studio packshot, a seller's phone photo or an in-use image, and holds up under changes of angle, lighting, background and partial occlusion.
Questions
Can the hockey equipment model find counterfeits without a logo or brand name?
Yes. It reads hockey equipment by design, through features such as item form and profile, blade or face shape and shaft or handle geometry. A listing with no logo, no brand name and a different photo still matches its reference when the design is the same.
Which product types does the hockey equipment model cover?
In scope: Hockey sticks and Pucks and field-hockey balls. Not covered: Ice skates sold separately, Generic sports-helmets, Lacrosse gear, Hockey apparel, Goalie pads and gloves, Hockey helmets and masks, Shin guards and pucks Pucks to play ice or field hockey. In scope: hockey sticks, Pucks and field-hockey balls. Out of scope: ice skates sold separately and Shin guards and sticks.
When will it be available?
It is in development. Early-access partners help shape the model on their own products. Tell us the product type and your volume and we'll share the timeline.
What images does it accept?
Studio packshots, seller phone photos and in-use images. Results stay consistent across angle, lighting, background and partial occlusion.
Is the attribute taxonomy public?
No. The taxonomy and training data are proprietary. We walk you through it during a pilot, and can add features and retrain the model on request.
How do I access it?
Request early access. Once it is live, it runs through the same Klaimed API and interface as every other model.