Dataset Versions
Versions
2023-04-22 2:29pm
v10
· 2 years ago
papaer-strong
v9
· 2 years ago
papper-start
v8
· 2 years ago
2023-03-10 9:45pm
v7
· 2 years ago
2023-02-12 4:10pm
v6
· 2 years ago
2022-12-11 3:26pm
v5
· 2 years ago
2022-12-11 2:12pm
v4
· 2 years ago
2022-12-08 2:23pm
v3
· 2 years ago
2022-12-04 3:13pm
v2
· 2 years ago
2022-12-04 2:05pm
v1
· 2 years ago
v2
2022-12-04 3:13pm
Generated on Dec 4, 2022
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.
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975 Total Images
View All Images
Dataset Split
Train Set 87%
847Images
Valid Set 9%
85Images
Test Set 4%
43Images
Preprocessing
Auto-Orient: Applied
Static Crop: 33-78% Horizontal Region, 16-100% Vertical Region
Resize: Stretch to 720x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise