RF100-VL: how well do LibreYOLO models generalize?
RF100-VL results measuring how YOLOv9, YOLOX, YOLO-NAS, EdgeCrafter and RF-DETR generalize across 100 real-world datasets after fine-tuning.
Tutorials and deep dives on running detection models with LibreYOLO.
RF100-VL results measuring how YOLOv9, YOLOX, YOLO-NAS, EdgeCrafter and RF-DETR generalize across 100 real-world datasets after fine-tuning.
Run, train, validate and export YOLO-NAS in LibreYOLO. SuperGradients last released in April 2024. We plan to train new weights from scratch to drop Deci's license.
RF100-VL measures how well a detector fine-tunes off COCO. RF-DETR and YOLO-NAS score higher than YOLOv8. How to run both in LibreYOLO.
A source-backed guide to 69 edge AI companies and NPU ecosystems: chips, SDKs, artifacts, quantization, and documented computer vision and YOLO support.
Run EfficientDet D0-D4 prediction, validation and export through LibreYOLO's object-detection API.
The original Facebook Research DETR repository is archived. Run four official DETR variants through LibreYOLO.
The official MiDaS repository is archived. Run its Small and DPT-Large depth models through LibreYOLO.
MMYOLO's latest release is from 2023. Run supported detectors such as RTMDet through LibreYOLO's direct API.
Run Real-ESRGAN 2x and 4x image upscaling through LibreYOLO, including tiled inference for large images.
SuperGradients stopped shipping after NVIDIA acquired Deci in 2024. LibreYOLO is a maintained alternative that runs the same YOLO-NAS weights: predict, train, and export under one MIT-licensed API.
The latest YOLOX release is from 2022. Run, train, validate and export YOLOX through the LibreYOLO API.
Google renamed TensorFlow Lite to LiteRT in September 2024. Same runtime, same .tflite files, nothing breaks. Here is why they did it, what actually changed, and how to export a LibreYOLO model to it.
A running list of talks, blog posts, and community threads that mention LibreYOLO around the web, from CVPR 2026 to Hacker News and r/computervision.
YOLOv5, YOLOv8, YOLO11 and YOLO26 ship under AGPL-3.0, so they are not free for closed-source commercial use. Here is what the license actually requires, version by version, and the MIT-licensed alternative.
A practical guide to the best open-source alternatives to Ultralytics YOLO in 2026: their licenses, task coverage, and deployment limits, and where LibreYOLO, the most complete MIT-licensed YOLO library, fits.
At CVPR 2026 in Denver, a Jabra and IT University of Copenhagen team used LibreYOLOXs as the example model in their "Edge AI in Action" tutorial, running it on a Hailo-8L and on Snapdragon.
RTMDet is one of the fastest accurate detectors around. The official install is broken on any PyTorch released in the last two years. Here is the alternative.
Depth Anything V2 gives you state-of-the-art monocular depth. Here is how to run it in two lines with LibreYOLO.