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Hamza 2026-05-25 14:52:17 +02:00
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@ -200,6 +200,10 @@ Use any file manager, or a tool like [Label Studio](https://labelstud.io/) for f
### Step 2 — Auto-label & Review
<div align="center">
<video src="assets/video/Auto Label.mp4" title="Auto Label.mp4" width="75%" controls></video>
</div>
> Use this step once you have a trained classifier. It replaces manual labelling almost entirely.
Runs the full detect → crop → classify pipeline in one command, then opens a browser UI where you review, confirm, fix, or reject each prediction.
@ -478,7 +482,7 @@ After training, download from `/kaggle/working/runs/classify/`:
These two files are all you need to run `3_inference.py` and `api_server.py`.
<div align="center">
<video src="assets/video/Training Model.mp4" title="Update Dataset.mp4" width="75%" controls></video>
<video src="assets/video/Training Model.mp4" title="Training Model.mp4" width="75%" controls></video>
</div>
#### Option C — Fully automated via `kaggle_train.py`