Update README.md
Browse files
README.md
CHANGED
@@ -21,13 +21,13 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
-
value: 0.
|
25 |
- name: Top-5 Accuracy
|
26 |
type: top-5-accuracy
|
27 |
value: 0.95
|
28 |
---
|
29 |
|
30 |
-
# I3D Kinetics-
|
31 |
|
32 |
This model is a fine-tuned version of the Inflated 3D Convnet model for action recognition, trained on the Kinetics-400 dataset.
|
33 |
|
@@ -52,7 +52,7 @@ The model achieves an accuracy of 90% and a top-5 accuracy of 95% on the UCF101
|
|
52 |
```python
|
53 |
from transformers import pipeline
|
54 |
|
55 |
-
model = pipeline("video-classification", model="Mouwiya/i3d-kinetics-
|
56 |
|
57 |
# Example video path
|
58 |
video_path = "path_to_your_video.mp4"
|
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
+
value: 0.98
|
25 |
- name: Top-5 Accuracy
|
26 |
type: top-5-accuracy
|
27 |
value: 0.95
|
28 |
---
|
29 |
|
30 |
+
# I3D Kinetics-600
|
31 |
|
32 |
This model is a fine-tuned version of the Inflated 3D Convnet model for action recognition, trained on the Kinetics-400 dataset.
|
33 |
|
|
|
52 |
```python
|
53 |
from transformers import pipeline
|
54 |
|
55 |
+
model = pipeline("video-classification", model="Mouwiya/i3d-kinetics-600")
|
56 |
|
57 |
# Example video path
|
58 |
video_path = "path_to_your_video.mp4"
|