Image Segmentation
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use fcakyon/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use fcakyon/test-model with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("fcakyon/test-model") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload yolov8 tensorboard logs
Browse files
events.out.tfevents.1673730246.DESKTOP-65UI233.15872.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:186b47c4be60b56e86e39f690f459765d6f68020446e02d980afa05a9ab1bc0b
|
| 3 |
+
size 25568
|