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_posts/2025-12-06-data-strategy-post.md

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| Before | After
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| -- | --
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| ![1epoch_annotated_vid.gif](/assets/2025-12-06-data-strategy-post/1epoch_annotated_vid.gif) | ![350epoch_annotated_vid.gif](../assets/2025-12-06-data-strategy-post/350epoch_annotated_vid.gif)
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| ![1epoch_annotated_vid.gif](/assets/2025-12-06-data-strategy-post/1epoch_annotated_vid.gif) | ![350epoch_annotated_vid.gif](/assets/2025-12-06-data-strategy-post/350epoch_annotated_vid.gif) |
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## Where do we begin?
2020
Last month I decided to train a computer vision model. It was super easy and fun, but didn't net the best results. There's a [full write up here](/_posts/2025-10-24-training_a_yolo_model.md), but the gist of it is that I didn't really start with the end in mind, and I discovered the importance of data strategy for ML applications.
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| 50% Conf | 25% Conf |
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| ![sam3-50pct.gif](../assets/2025-12-06-data-strategy-post/SAM3-50pct-Conf.gif) | ![sam3-25pct.gif](../assets/2025-12-06-data-strategy-post/SAM3-25pct-Conf.gif) |
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| ![sam3-50pct.gif](/assets/2025-12-06-data-strategy-post/SAM3-50pct-Conf.gif) | ![sam3-25pct.gif](/assets/2025-12-06-data-strategy-post/SAM3-25pct-Conf.gif) |
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- **Conclusion:** This was a blowout in terms of identifying the objects I was interested in. SAM 3 was much slower, but that was expected. It got even better with confidence tuning.
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| Ground Truth | SAM 3 @ 25% Conf |
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| -- | -- |
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| ![ground-truth-last-frame.png](../assets/2025-12-06-data-strategy-post/ground-truth-last-frame.png) | ![sam3-25pct-last-frame.jpg](../assets/2025-12-06-data-strategy-post/sam3-25pct-last-frame.jpg) |
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| ![ground-truth-last-frame.png](/assets/2025-12-06-data-strategy-post/ground-truth-last-frame.png) | ![sam3-25pct-last-frame.jpg](/assets/2025-12-06-data-strategy-post/sam3-25pct-last-frame.jpg) |
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### Summary Table
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