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stspanho /spectacles-yolov7-trainer:ed4d9340
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| images_zip_url |
string
|
URL to a .zip of real Spectacles frames (flat folder of images).
|
|
| classes |
string
|
coffee cup
|
Comma-separated class list. Must line up with the objects described in synthetic_prompts and the objects visible in the real Spectacles frames, e.g. "coffee cup" or "banana, apple".
|
| synthetic_prompts |
string
|
None
|
|
| synthetic_count |
integer
|
100
Max: 1000 |
Number of synthetic frames to generate (0 = skip Flux entirely).
|
| epochs |
integer
|
200
Min: 1 Max: 1000 |
None
|
| batch_size |
integer
|
64
Min: 1 Max: 128 |
None
|
| img_size |
None
|
224
|
Training + export image size (must be a multiple of 32). 224 is Snap's SnapML recipe for Spectacles; 320/416/512/640 give higher accuracy at higher on-device cost.
|
| sam_score_threshold |
number
|
0.5
Max: 1 |
None
|
| include_dataset |
boolean
|
False
|
If true, bundle the SAM 3-annotated train/val dataset into the output zip.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}