libreyolo
rf100-vl-results
RF100-VL campaign artifacts
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.rf100-vl
RF100-VL, packaged for one download
This is a temporary redistribution of Roboflow's RF100-VL benchmark, published so that benchmark runs can fetch the data in one step instead of a hundred. It is not an original work, and if Roboflow asks us to take it down we will, immediately and without argument.
Everything here comes from Roboflow 100-VL. The benchmark, the datasets, the splits and the cleaning logic are theirs. We changed none of it.
Why this exists
RF100-VL… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/rf100-vl.underwater-objects-5v7p8
Underwater Objects 5V7P8
This dataset is part of the Roboflow 100 benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
Dataset Statistics
Split
Images
Train
5,320
Validation
1,520
Test
760
Total
7,600
Classes (5)
echinus
holothurian
scallop
starfish
waterweeds
Usage
With LibreYOLO
from libreyolo import LIBREYOLO
# Load a model
model = LIBREYOLO(model_path="libreyoloXnano.pt")… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/underwater-objects-5v7p8.road-traffic
Road Traffic
This dataset is part of the Roboflow 100 benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
Dataset Statistics
Split
Images
Train
494
Validation
187
Test
133
Total
814
Classes (12)
bicycles
bridges
buses
chimneys
crosswalks
fire hydrants
motorcycles
stairs
taxis
tractors
traffic lights
vehicles
Usage
With LibreYOLO
from libreyolo import LIBREYOLO
# Load a model… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/road-traffic.underwater-pipes-4ng4t
underwater pipes > release-640
https://universe.roboflow.com/roboflow-100/underwater-pipes-4ng4t
This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.
Dataset Summary
Total images: 7971
Train: 5617 images
Validation: 1575 images
Test: 779 images
Classes: 1 (pipe)
Format: YOLOv8 (Ultralytics)
License: CC BY 4.0
Preprocessing
Auto-orientation of pixel data (with EXIF-orientation… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/underwater-pipes-4ng4t.paragraphs-co84b
paragraphs > release-640
https://universe.roboflow.com/roboflow-100/paragraphs-co84b
This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.
Dataset Summary
Total images: 6063
Train: 4209 images
Validation: 1221 images
Test: 633 images
Classes: 7 (g, h, g1, g3, -, m, n)
Format: YOLOv8 (Ultralytics)
License: CC BY 4.0
Preprocessing
Auto-orientation of pixel data (with EXIF-orientation… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/paragraphs-co84b.