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#Work

Archived at 9/15/2026, 3:38:51 PM

  • [-] Retrain and Validate Person Attributes Model 🆔 bp0t9x â›” isp2fp Retrain the multi-task/attribute recognition model with the newly balanced dataset to boost recall on the target attributes.
    • Run training with the updated data distribution.
    • Ensure performance on existing major classes (like vehicle color or type) hasn't degraded (no catastrophic forgetting).

Archived at 9/15/2026, 3:38:33 PM

  • [-] Retrain and Validate Person Attributes Model 🆔 bp0t9x â›” isp2fp Retrain the multi-task/attribute recognition model with the newly balanced dataset to boost recall on the target attributes.
    • Run training with the updated data distribution.
    • Ensure performance on existing major classes (like vehicle color or type) hasn't degraded (no catastrophic forgetting).

Archived at 9/15/2026, 3:38:02 PM

  • [-] Retrain and Validate Person Attributes Model 🆔 bp0t9x â›” isp2fp Retrain the multi-task/attribute recognition model with the newly balanced dataset to boost recall on the target attributes.
    • Run training with the updated data distribution.
    • Ensure performance on existing major classes (like vehicle color or type) hasn't degraded (no catastrophic forgetting).

Archived at 9/15/2026, 3:36:03 PM

  • [-] Data Augmentation & Balancing for "Accessories" and "Suits" 🆔 isp2fp Address the class imbalance for person attributes. Gather, filter, or synthetically augment data to increase the representation of "accessories" and "suits" (apparel).

    • Run vlm on the person crops to increase dataset size.
    • Query the existing dataset to check the exact distribution of "accessory" and "suit" tags.
    • Apply targeted data augmentation (e.g., color jittering, cropping, or mixing) specifically on underrepresented classes.
    • (Optional) Source or scrape additional data points if augmentation isn't enough.
  • implement face direction using facial landmarks on triton.

    • convert the github repo to work with triton.
    • detect if a face is facing forward.
    • add it to the face ensemble.
    • neglect faces not facing forward.
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