Chapters
Introduction
Introduction
0:00
Introduction
0:00
About KerasCV
About KerasCV
1:20
About KerasCV
1:20
Object Detection
Object Detection
4:10
Object Detection
4:10
Bounded Box Conversion
Bounded Box Conversion
5:10
Numerical Optimization
Numerical Optimization
9:00
Loading Data
Loading Data
9:35
Loading Data
9:35
Data Augmentation
Data Augmentation
11:30
Data Augmentation
11:30
Layer Mixup
Layer Mixup
12:55
Layer Mixup
12:55
Load Pretrained Models
Load Pretrained Models
15:00
Load Pretrained Models
15:00
Compile Model
Compile Model
15:50
Compile Model
15:50
Train Model
Train Model
16:40
Train Model
16:40
Custom Data Augmentation
Custom Data Augmentation
17:30
Custom Data Augmentation
17:30
Inference
Inference
20:10
Inference
20:10
Open Questions
Open Questions
21:47
Open Questions
21:47
Segmentation
Segmentation
22:42
Segmentation
22:42
Augmentation
Augmentation
25:10
Augmentation
25:10
Model initialization
Model initialization
27:00
Model initialization
27:00
YOLO model
YOLO model
27:55
YOLO model
27:55
Model fit
Model fit
28:50
Model fit
28:50
Modify backbone
Modify backbone
29:17
Modify backbone
29:17
Changing the backbone
Changing the backbone
30:43
Changing the backbone
30:43
Build a new model
Build a new model
30:55
Build a new model
30:55
Task presets
Task presets
31:48
Task presets
31:48
Visualization
Visualization
34:51
Visualization
34:51
Jax
Jax
37:22
Jax
37:22
Data Augmentation Example
Data Augmentation Example
41:42
How toContribute
How toContribute
43:15
How toContribute
43:15
Question
Question
45:58
Question
45:58
How to get into Open Source
How to get into Open Source
54:36
What makes Open Source amazing
What makes Open Source amazing
55:31
I love working in Open Source
I love working in Open Source
57:25
Closing remarks
Closing remarks
57:53
Closing remarks
57:53
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