Today
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Upload eval/real_gu_ftm.json with huggingface_hub
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Upload eval/real_gu_ft1.json with huggingface_hub
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Upload eval/real_gp_ftm.json with huggingface_hub
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dataset card: phase-4 mixed fine-tune head-to-head
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Upload eval/real_gp_ft1.json with huggingface_hub
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Upload eval/syn_ftm.json with huggingface_hub
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Upload eval/syn_ft1.json with huggingface_hub
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v3: --upload-tag for per-run weight naming
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Upload folder using huggingface_hub (part 8)
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Upload folder using huggingface_hub (part 7)
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Upload folder using huggingface_hub (part 6)
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Upload folder using huggingface_hub (part 5)
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Upload folder using huggingface_hub (part 4)
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Upload folder using huggingface_hub (part 3)
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Upload folder using huggingface_hub (part 2)
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Upload folder using huggingface_hub
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dataset card: phase-3 sim-to-real results
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Upload eval/real_gunhcolab_ft224.json with huggingface_hub
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Upload eval/real_gunhcolab_stock224.json with huggingface_hub
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Upload eval/real_gpiosenka_ft224.json with huggingface_hub
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Upload eval/real_gpiosenka_stock224.json with huggingface_hub
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dataset card: add phase-2 fine-tune results and benchmark contents
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Upload eval/results_ft_test.json with huggingface_hub
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Upload eval/results_stock_test.json with huggingface_hub
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fine-tune script used by the GPU training job
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Upload folder using huggingface_hub (part 8)
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Upload folder using huggingface_hub (part 7)
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Upload folder using huggingface_hub (part 6)
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Upload folder using huggingface_hub (part 5)
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Upload folder using huggingface_hub (part 4)
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Upload folder using huggingface_hub (part 3)
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Upload folder using huggingface_hub (part 2)
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Upload folder using huggingface_hub
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Dataset card with eval results
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Mirage full eval results (60 imgs, scale 1)
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Mirage eval results (20 imgs, 2x upscale)
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Upload results_yolo.json with huggingface_hub
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Upload render_tables.py with huggingface_hub
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Upload eval_mirage.py with huggingface_hub
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Upload eval_yolo.py with huggingface_hub
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Upload folder using huggingface_hub
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initial commit