Dataset Versions
Versions
rot box 43 shear 40 20 noise 1
v10
· 2 years ago
rot box 43 shear box 12 40 noise 1
v9
· 2 years ago
rot box 43 shear box 30 10
v8
· 2 years ago
shear box 18 40
v7
· 2 years ago
shear box 22 18
v6
· 2 years ago
shear 16 30
v5
· 2 years ago
rot box 43
v4
· 2 years ago
rot box 43
v3
· 2 years ago
rot 43
v2
· 2 years ago
original
v1
· 2 years ago
v9
rot box 43 shear box 12 40 noise 1
Generated on Apr 27, 2023
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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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200 Total Images
View All Images
Dataset Split
Train Set 100%
200Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 1
Bounding Box: Rotation: Between -43° and +43°
Bounding Box: Shear: ±12° Horizontal, ±40° Vertical
Bounding Box: Noise: Up to 1% of pixels