v0.58.0

💪 Added

🤯 RFDetr Seg — Fast, Accurate Segmentation in Roboflow 💥

We’re excited to announce the addition of RF-DETR Seg (Preview), bringing real-time instance segmentation to the Roboflow platform. Thanks to the outstanding work of the RF research team, users can now:

• Train and deploy RF-DETR Seg models directly in Roboflow
• Enjoy state-of-the-art accuracy with latency
• Run models seamlessly through Roboflow inference or the rf-detr packages

This release pushes the boundary of fast, accurate segmentation — and it’s now available to explore in Roboflow. Check out our 📖 blog for more details and try out your RFDetr model in inference:

import os
import supervision as sv
from inference import get_model
from PIL import Image
from io import BytesIO
import requests

url = "https://media.roboflow.com/dog.jpeg"
image = Image.open(BytesIO(requests.get(url).content))

model = get_model("<your-rf-model-id>")
predictions = model.infer(image)[0]
detections = sv.Detections.from_inference(predictions)

🔌 Improved

• improve speed and memory usage of masks2poly and masks2multipoly by @hansent in #1586

Full Changelog: v0.57.4...v0.58.0