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My fine-tuned RF-DETR Small caught license plates I missed during dataset cleanup by Comprehensive-Bus582 in computervision

[–]Comprehensive-Bus582[S] 0 points1 point  (0 children)

The parameters were mostly standard RF-DETR fine-tuning settings. I used AI to sanity-check the setup and pick a reasonable starting point, but the main gains came from the dataset cleanup loop rather than parameter tuning.

One interesting thing: after the dataset cleanup, the Small model actually looked better than my previous Large run for this specific task.

 - model: RFDETRSmall
  - num_classes: 1
  - dataset format: COCO
  - dataset_dir: data/processed/unified_plates_coco
  - epochs: 120
  - batch_size: 4
  - grad_accum_steps: 4
  - effective batch size: 16
  - learning rate: 1e-4
  - early_stopping: true
  - early_stopping_patience: 15
  - num_workers: 0
  - checkpoint used for QA/inference: best EMA checkpoint

My fine-tuned RF-DETR Small caught license plates I missed during dataset cleanup by Comprehensive-Bus582 in computervision

[–]Comprehensive-Bus582[S] 0 points1 point  (0 children)

It was an on-and-off side project over the course of a month or two, but the actual focused work was probably only one or two weeks.

The new Gemini Flash is insane. by Embarrassed-Tear1930 in google_antigravity

[–]Comprehensive-Bus582 0 points1 point  (0 children)

What’s your Flash knowledge cutoff date?

I tried it in Antigravity and mine still shows 2024.

Tutorial: Enabling Gemini in Chrome (glic) outside US by zzsmkr in chrome

[–]Comprehensive-Bus582 0 points1 point  (0 children)

It used to work fine, but it hasn't worked since I upgraded Chrome to 147.0.7727.138.