Frigate+ 2026.0 Base Model Update #21659
Replies: 22 comments 41 replies
-
|
Love the continued updates and features. Requested a model two days ago based on some recent false positives and I'm not even slightly upset I'm requesting one again today. Just wanted you to know I feel I get more than my fair share out of the frigate plus subscription. Hoping I can contribute to the code base in the future when I've learned more and have more time. Until then, take my money. |
Beta Was this translation helpful? Give feedback.
-
|
Is it just my imagination or are the suggested bounding boxes for labels in Frigate+ tighter than ever before? |
Beta Was this translation helpful? Give feedback.
-
|
Just out of curiosity, do we know how the accuracy of the YOLOv9 models running on Google Coral Devices (I suspect where they are running doesn't actually matter) compare to the current mobledet models? My past experience has been that YOLO models are significantly better, but I am curious if this is still the case (my experience is at least a couple of years out-of-date) and if it holds true once the YOLO model is made to work on the Coral? Of course, once v0.17 is out, it sounds like I'll be able to try it out for myself... :) |
Beta Was this translation helpful? Give feedback.
-
|
I look forward to the base model update every quarter, and I eagerly await the graduation of the How many more chicken photos do I need to submit? 😆 |
Beta Was this translation helpful? Give feedback.
-
|
Any chance we will see larger models as well soon, at least m size yolov9? |
Beta Was this translation helpful? Give feedback.
-
|
Model already requested was upgraded to the new base, and i've got an immediate noticeable improvement in night time detections of vehicles. Excellent as always. |
Beta Was this translation helpful? Give feedback.
-
|
Excited to try out this new model. I am curious if the images we submit to frigate+ contribute to the whole dataset or if they are only for our fine tuned models? Do they go through another review before going into the base model or is the human error low enough from user submitted data that it doesn't need to? Also, can the public access this dataset for our own uses or is it a private frigate+ database? Thanks |
Beta Was this translation helpful? Give feedback.
-
|
would it be possible to copy the following labels from the original yolov9 to the frigate+ yolov9? they would be very helpful for crime detection |
Beta Was this translation helpful? Give feedback.
-
|
Looking forward to the heron label beging added into the model. So far I have labeled herons as birds. Is it possible to implement a filter option to show only pictures of a camera with bird labels? That would speed up going through the pictures to find the herons and relabel them. Thanks for the great work! |
Beta Was this translation helpful? Give feedback.
-
|
Prepping to start my journey with Frigate plus so this is exciting. Curious if you have an approximate time line on the coral stuff? This is what I run so if not too far off I may just wait and start prepping images in the meantime. Thanks |
Beta Was this translation helpful? Give feedback.
-
|
Question: I submitted a fairly extensive (for me) and my first, fine tuned model request on 1/8/2026 and installed it: Base Model: 2025.3 (Fine-Tuned) | Train Date: 1/8/2026, 4:30:27 PM If I now select the new base model 2026.0 in the drop down for same model type, are my prior submissions integrated into the new model? Or do I need to submit my fine tunes again? |
Beta Was this translation helpful? Give feedback.
-
|
I'm curious as to whether those with experience would recommend waiting until the YOLOv9 works with my Coral or to migrate over to the YOLOv9 on my current integrated GPU now. I have Frigate installed as per the recommended practice (Docker on a bare metal OS install, no virtualization) with nothing else running. I have 12 cameras mostly (all except my doorbells) running detection at very high (full 4K) resolution (mostly looking for people and animals - bear, deer, cats, dogs, racoons - in very large rural areas). My Coral performance is fine but I do get a decent number of false positives (especially at night) even with a Frigate+ model trained with close to 6000 images. My GPU is an integrated Iris Xe graphic chipset on an Intel Core i7-1360P (12 cores) in an Intel NUC 13 Pro. Thoughts or experiences? |
Beta Was this translation helpful? Give feedback.
-
|
Yolo for coral and adding heron. Very cool. |
Beta Was this translation helpful? Give feedback.
-
Beta Was this translation helpful? Give feedback.
-
|
Is that the label |
Beta Was this translation helpful? Give feedback.
-
|
Wow, very impressed with this new Base Model! I requested a new mobiledet edgetpu model yesterday based on 2026.0 Base and it is working great so far - no false positives yet and picked up person and cat multiple times correctly (previously had false positives every few hours). Running Frigate 0.17.0 Beta 2 on a N100 with 2 x Coral USBs. |
Beta Was this translation helpful? Give feedback.
-
|
Just wanted to ask what model sizes are available for yolov9? Which sizes is supported on Coral Edge TPU( in future) and Hailo 8L? Any one know Hailo 8L inteference time with Yolov9 S and T? |
Beta Was this translation helpful? Give feedback.
-
|
Can we add some additional label classes for the frigate+ model? Specifically gun, fire, smoke would be very useful for many users I would think. I successfully trained a Yolov9 model to include those labels. The gun label is tricky since frigate wants to box on the person and doesn't always alert on the gun, but I'm sure someone with more experience doing model training than me could figure this out. |
Beta Was this translation helpful? Give feedback.
-
|
Just wanted to report that I have been running a fine tuned 2026.0 yolov9s model now for almost a week and I haven't had any bird / bear / dog false positives yet. Which seems to be a significant improvement over the previous base model fine tune. |
Beta Was this translation helpful? Give feedback.
-
|
When do you think YOLOv9 support for Google Coral will be available on Frigate+? My subscription expires soon and it would be good to get one last training in before it does. |
Beta Was this translation helpful? Give feedback.
-
Currently, I am using the Plus model to detect faces, but in face recognition, there are often objects that are not actually faces. Is there a way to improve this?
|
Beta Was this translation helpful? Give feedback.
-
|
Anyone have garbage_truck actually label instead of car? I have double checked my outdoor cameras and they all have the garbage_truck label enabled in addition to car but the trucks always detect as a car. |
Beta Was this translation helpful? Give feedback.



Uh oh!
There was an error while loading. Please reload this page.
-
The base model in Frigate+ has now been updated to 2026.0. All model requests going forward will use this version. If you have a model request that has not finished processing, it has automatically been updated to use 2026.0.
For this release, I tested over a dozen variations of training parameters for YOLOv9 to maximize performance. In my testing against images uploaded to Frigate+, the updated base model has fewer false positives and false negatives. Additionally, I have updated the models section of Frigate+ with a dropdown to filter to the most recent base model to make it easier to manage the growing list of options.
I am planning to add YOLOv9 support for Google Coral devices alongside Frigate 0.17. When that happens, you will need to submit a new model request as the current YOLOv9 models will not be automatically compatible.
I have also added some additional candidate labels requested over the past few months: la_poste, lawnmower, and heron.
Beta Was this translation helpful? Give feedback.
All reactions