yangin Dataset
Versions
2024-07-29 7:04am
v10
· 2 months ago
2024-07-25 11:01am
v9
· 2 months ago
2024-07-25 8:05am
v8
· 2 months ago
2024-07-24 8:17am
v7
· 2 months ago
2024-07-19 8:34am
v6
· 2 months ago
2024-07-19 7:11am
v4
· 2 months ago
2024-07-17 11:02am
v3
· 2 months ago
2024-07-17 7:10am
v2
· 2 months ago
2024-07-16 8:10am
v1
· 2 months ago
v10
2024-07-29 7:04am
Generated on Jul 29, 2024
Popular Download Formats
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
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21332 Total Images
View All Images
Dataset Split
Train Set 85%
18153Images
Valid Set 6%
1377Images
Test Set 8%
1802Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1820x1080
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Blur: Up to 2.6px
Noise: Up to 1.17% of pixels