metadata
title: Embroidery Complexity API
sdk: docker
app_port: 7860
Embroidery Complexity API
POST /predict with a multipart field named image.
GET /health checks whether the model is available.
Protected training endpoint
The Space also exposes a protected fine-tuning route. Configure these Space Secrets before using it:
TRAINING_API_TOKEN: a separate long random token used by the training client.HF_TOKEN: a Hugging Face token with write access to this Space.
The dataset ZIP must contain these folders, with at least six images in each class and at least three different orders per class:
baixo_risco/
medio_risco/
alto_risco/
Start a job:
curl -X POST "https://vitordigitizing-embroidery-complexity-api.hf.space/train" \
-H "X-Training-Token: YOUR_TRAINING_API_TOKEN" \
-F "dataset=@dataset.zip" \
-F "epochs=20"
The response contains a job_id. Poll GET /train/{job_id}. When the job is
completed, the best complexidade_best.pth checkpoint is committed to this
Space and the running API is updated in memory. The route is intentionally not
open without TRAINING_API_TOKEN.