Raw artifacts from RF100-VL benchmark campaigns run with LibreYOLO: the
per-dataset training configs, per-epoch metrics, logs, GPU telemetry, scoring
inputs and submissions. Published so a result can be checked rather than
believed.
Protocol: fine-tune one checkpoint per dataset across the 100 RF100-VL
datasets, score each on its test split with pycocotools at maxDets 500, and
report the unweighted mean AP50:95. Epochs, batch size, seed and selection… See the full description on the dataset page:
https://huggingface.co/datasets/LibreYOLO/rf100-vl-results.