Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,28 @@ tags:
|
|
| 10 |
- ultralytics
|
| 11 |
- yolo
|
| 12 |
- object-detection
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
---
|
| 15 |
|
| 16 |
This model is built using tfjs and is based on the YOLOv8n architecture. It is capable of detecting two classes of objects: people wearing safety helmets and those who are not.
|
|
|
|
| 10 |
- ultralytics
|
| 11 |
- yolo
|
| 12 |
- object-detection
|
| 13 |
+
library_name: ultralytics
|
| 14 |
+
library_version: 8.0.23
|
| 15 |
+
inference: false
|
| 16 |
+
|
| 17 |
+
datasets:
|
| 18 |
+
- keremberke/hard-hat-detection
|
| 19 |
+
|
| 20 |
+
model-index:
|
| 21 |
+
- name: keremberke/yolov8n-hard-hat-detection
|
| 22 |
+
results:
|
| 23 |
+
- task:
|
| 24 |
+
type: object-detection
|
| 25 |
+
|
| 26 |
+
dataset:
|
| 27 |
+
type: keremberke/hard-hat-detection
|
| 28 |
+
name: hard-hat-detection
|
| 29 |
+
split: validation
|
| 30 |
+
|
| 31 |
+
metrics:
|
| 32 |
+
- type: precision # since [email protected] is not available on hf.co/metrics
|
| 33 |
+
value: 0.83633 # min: 0.0 - max: 1.0
|
| 34 |
+
name: [email protected](box)
|
| 35 |
---
|
| 36 |
|
| 37 |
This model is built using tfjs and is based on the YOLOv8n architecture. It is capable of detecting two classes of objects: people wearing safety helmets and those who are not.
|