HUSKYLENS 2 Model Hub
Last revision 2026/08/28
Model Hub is the official marketplace for HUSKYLENS 2, offering various models to expand its visual recognition. Download and transfer models via USB.
Introduction
Model Hub is the official model marketplace developed by the HUSKYLENS 2 team. You can download additional models from Model Hub to rapidly expand the visual‑recognition capabilities of your HUSKYLENS 2. Click the download link for your desired model, then transfer the model file to HUSKYLENS 2 via USB.
We will keep releasing updates to bring you more practical and interesting models in the future.
Model Installation Tutorial (Local Installation)
Browse this page on a computer and download the model provided below.
Extract the downloaded .zip file, and you will obtain another .zip file ending with ‑DF.
After connecting the computer to HUSKYLENS 2 via USB, drag the .zip end with -DF in to HUSKYLENS 2.
The path is Huskylens\storage\installation_package
Connect your HUSKYLENS 2 with computer via USB cable, and then click into Model Installation
Click on Local Installation
The model would be successfully installed.
Model Installation Tutorial (Online Installation)
If your HUSKYLENS 2 is fitted with the HUSKYLENS 2 WiFi Module and connected to the Internet, you can scan the QR code to install the models in this document directly online.
Power on the HUSKYLENS 2, select Model Installation.
Choose Online Installation.
Scan the QR code in this wiki
Waiting for the model download and install
After installation, the model will automatically appear in HuskyLens 2.
Detection
Construction PPE Recognition
Recognition of construction‑site PPE including safety helmets, goggles, protective clothing, safety shoes and other work‑protection gear.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model Download |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-det |
| Model resolution | 640 * 640 |
| Model class | 0: helmet 1: gloves 2: vest 3: boots 4: goggles 5: none 6: Person 7: no_helmet 8: no_goggle 9: no_gloves 10: no_boots |
Home Object Recognition
This model detects common indoor objects, covering 12 everyday home categories: bed, sofa, chair, table, table lamp, TV, laptop, wardrobe, window, door, potted plant and photo frame.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model Download |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-det |
| Model resolution | 640 * 640 |
| Model class | 0: bed 1: sofa 2: chair 3: table 4: lamp 5: tv 6: laptop 7: wardrobe 8: window 9: door 10: potted plant 11: photo frame |
African Wildlife Recognition
This model covers four animal categories commonly found in South‑African nature reserves: buffalo, elephant, rhinoceros and zebra.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model Download |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-det |
| Model resolution | 640 * 640 |
| Model class | 0: buffalo 1: elephant 2: rhino 3: zebra |
Soccer Player Recognition
This model detects soccer balls and football players in TV broadcast footage.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model Download |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-det |
| Model resolution | 640 * 640 |
| Model class | 0: player 1: football |
Delta‑Force Enemy Recognition
This model identifies enemy player targets in Delta‑Force.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Delta-force.zip |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-det |
| Model resolution | 640 * 640 |
| Model class | 0: head 1: person |
Segmentation
F1 car segmentation
This F1 car segmentation model segments physical F1 race cars in real‑race scenarios.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model Download |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-seg |
| Model resolution | 640 * 640 |
| Model class | 0: f1 car |
Flower segmentation
This model performs segmentation for flower appearances.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model download |
| Test image | Test Image Download |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-seg |
| Model resolution | 640 * 640 |
| Model class | 0: flower |
Classification
Dog Breed Classification
This model can distinguish 10 dog breeds: Australian Terrier, Border Terrier, Samoyed, Beagle, Shih Tzu, English Foxhound, Rhodesian Ridgeback, Dingo, Golden Retriever, and Old English Sheepdog.
Model Download
| Method | Download link |
|---|---|
| Offline Installation | Model Download |
| Test image | test-image.zip |
Online Installation:
Model Parameters
| Model infomation | Detail |
|---|---|
| Model type | yolo11n-cls |
| Model resolution | 224 * 224 |
| Model class | Australian terrier Beagle Border terrier Dingo English foxhound Golden retriever Old English sheepdog Rhodesian ridgeback Samoyed Shih‑Tzu |
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