Dataset Versions
Versions
2024-03-16 7:34pm
v16
· 9 months ago
2024-03-16 10:46am
v15
· 9 months ago
2024-03-06 5:43pm
v14
· 9 months ago
2024-03-06 5:42pm
v13
· 9 months ago
aug3x-2-AHE
v12
· 2 years ago
aug3x-2-HE
v11
· 2 years ago
aug3x-2
v10
· 2 years ago
aug3x
v6
· 2 years ago
aug3x-AHE
v5
· 2 years ago
2023-03-18 1:33pm
v1
· 2 years ago
v16
2024-03-16 7:34pm
Generated on Mar 16, 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.
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345 Total Images
View All Images
Dataset Split
Train Set 96%
330Images
Valid Set 4%
15Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±18° Horizontal, ±18° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%