We publish original state-of-the-art research, have invested $1M+ into researchers and academics, and are cited by leading global institutions.
Isaac Robinson, Peter Robicheaux, Matvei Popov
Chief AI Scientist at Meta
RF-DETR: DINOv2 pretrained encoder + multiscale DETR architecture = SOTA on fast object detection. @nicolas.carion
Machine Learning Engineer @ USC
We benchmarked RF-DETR vs the YOLO models we were using for our industrial use cases. We're migrating to RF-DETR in every place we can given seeing its superior performance.
Open-sourceress at Hugging Face 馃
do not sleep on RF-DETR 馃敟 it's a sota, real-time and most importantly, open-source object detector released by @roboflow @skalskip92. my vibe tests on very noisy images and videos have passed 馃憦 currently being integrated to transformers 馃
Evaluating vision models on comprehensive real-world datasets.
Vision AI Checkup measures how well new multimodal models perform at real world use cases. Our assessment consists of dozens of images, questions, and answers that we benchmark against models and is meant as an unofficial "vibe test" of VLM performance.
A new object detection benchmark that measures model domain adaptability to real world problems. RF100-VL was designed by researchers from Roboflow and Carnegie Mellon University.
Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets.
Every day, researchers and academics are using Roboflow to advance their work.
J Civit-Masot, F Luna-Perej贸n, M Dom铆nguez Morales
LH Li, P Zhang, H Zhang, J Yang, C Li
D Reis, J Hong, J Kupec, A Daoudi
D Chen, YL Chen, N Codella, X Dai
Z Jiang, S Yang, X Fan
C Zhang, L Liu, Y Cui, G Huang, W Lin, Y Yang
We have invested over $1M into new research leveraging Roboflow.
Our team presents research and industry insights at leading computer vision conferences.
Roboflow and Carnegie Mellon University are collaborating to release the second iteration of the Foundational Few-Shot Object Detection Challenge at CVPR 2025.
Peter Robicheaux and Isaac Robinson of Roboflow and Vik Korrapati at Moondream recap the best work of 2024 in frontier/open model vision work.
