Dragon Boats Dataset
Versions
2024-03-16 12:46pm
v20
· 7 months ago
2024-03-15 9:25pm
v19
· 8 months ago
2024-03-11 12:10am
v18
· 8 months ago
2024-03-10 11:28pm
v17
· 8 months ago
2024-03-10 3:27pm
v16
· 8 months ago
2024-03-10 11:37am
v15
· 8 months ago
2024-03-09 11:18pm
v14
· 8 months ago
2024-02-27 10:26pm
v13
· 8 months ago
2024-02-21 11:39pm
v12
· 8 months ago
2024-02-20 7:40am
v10
· 8 months ago
2022-09-14 5:30pm
v9
· 2 years ago
2022-09-06 11:48pm
v8
· 2 years ago
2022-09-06 9:50pm
v7
· 2 years ago
2022-09-01 4:53pm
v6
· 2 years ago
2022-09-01 4:19pm
v5
· 2 years ago
2022-08-27 10:17pm
v4
· 2 years ago
2022-08-27 12:12pm
v2
· 2 years ago
2022-08-25 10:57pm
v1
· 2 years ago
v10
2024-02-20 7:40am
Generated on Feb 20, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
1555 Total Images
View All Images
Dataset Split
Train Set 88%
1365Images
Valid Set 8%
123Images
Test Set 4%
67Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 11 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.85% of pixels