Oops something went wrong, there might be issues with this model - YOLOv11 Object Detection

🤝 Community Help
1

Hello Roboflow Support,

I am getting the error “Oops something went wrong, there might be issues with this model” when trying to test my model. The issue has persisted for more than 2 days.

What I have tried:

  • Waited for the Serverless v2 API to recover (status.roboflow.com now shows all green)

  • Tested on multiple browsers (same error on all)

  • Checked Credit Usage — only 1 credit has been used, so I am not over the limit

  • The image I am uploading is only 439KB, well within the 20MB limit

Project Details:

  • Model URL: forehand-backhand/1

  • Model Type: YOLOv11 Object Detection (Small)

  • Checkpoint: COCOs

  • Dataset Version: 2026-05-11 4:44pm

  • Updated On: 5/11/26, 4:51 PM

  • Project Type: Object Detection

  • Operating System & Browser: win11, Chrome

Could you please help me investigate what is causing this error?

Thank you!

  • Do you grant Roboflow Support permission to access your Workspace for troubleshooting? (Yes)
2

Additional Issue: When accessing the model, I receive a Cloudflare block page with the message “You have been blocked”. My Cloudflare Ray ID is: 9fa766aa39be5161.

3

Hi @Patty_Hao ,

Where do you see this issue? When I go to Project → Models → forehand-backhand/1 , it correctly produces predictions:

image
image1200Ă—1115 202 KB

It seems to work via infernece-sdk (using Serverless) as well, with this code

import cv2
import supervision as sv
from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="***", # Your api key
)

IMAGE_PATH = "YOUR_IMAGE.jpg"

result = CLIENT.infer(IMAGE_PATH, model_id="forehand-backhand/1")

image = cv2.imread(IMAGE_PATH)
detections = sv.Detections.from_inference(result)

box_annotator = sv.BoxAnnotator()
label_annotator = sv.LabelAnnotator()

annotated = box_annotator.annotate(scene=image.copy(), detections=detections)
annotated = label_annotator.annotate(scene=annotated, detections=detections)

sv.plot_image(annotated)

image
image513Ă—413 32.5 KB