You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm evaluating supergradients and YoloNAS and I'm trying to use the coco recipe to train a model from scratch. I am getting < .20onPrecision@0.50:0.95`. For an out of the box recipe I assumed the numbers would be more like a expect, getting a closer match to recall. Recall raises as expected, as well does MAP.
On other builds (fine tuning with my own data) I see similar issues with the precision metrics. when I run an external evaluation on a test dataset my precision number is much higher so, I'm thinking this may be an issue with metrics calculation.
I'm using the following dataset:
To use this Dataset you need to:
- Download coco dataset:
annotations: http://images.cocodataset.org/annotations/annotations_trainval2017.zip
train2017: http://images.cocodataset.org/zips/train2017.zip
val2017: http://images.cocodataset.org/zips/val2017.zip
- Unzip and organize it as below:
coco
├── annotations
│ ├─ instances_train2017.json
│ ├─ instances_val2017.json
│ └─ ...
└── images
├── train2017
│ ├─ 000000000001.jpg
│ └─ ...
└── val2017
💡 Your Question
I'm evaluating
supergradients
andYoloNAS and I'm trying to use the coco recipe to train a model from scratch. I am getting
< .20on
Precision@0.50:0.95`. For an out of the box recipe I assumed the numbers would be more like a expect, getting a closer match to recall. Recall raises as expected, as well does MAP.On other builds (fine tuning with my own data) I see similar issues with the precision metrics. when I run an external evaluation on a test dataset my precision number is much higher so, I'm thinking this may be an issue with metrics calculation.
I'm using the following dataset:
Here is the command I am using:
Versions
super-gradients==3.7.1
The text was updated successfully, but these errors were encountered: