Dataset Versions
Versions
Prufen der Augmentation
v7
· a year ago
Final
v6
· a year ago
2023-12-08 Size 1280x1024 Final
v5
· a year ago
2023-11-10 Raw Auto-Orient Bilder 10. Nov
v4
· a year ago
2023-11-03 Raw Auto-Orient Bilder 2. Nov
v3
· a year ago
2023-11-01 Raw Auto Orient Bilder 23.Okt
v2
· a year ago
2023-10-24 Raw
v1
· a year ago
v7
Prufen der Augmentation
Generated on Dec 18, 2023
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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1306 Total Images
View All Images
Dataset Split
Train Set 86%
1118Images
Valid Set 6%
84Images
Test Set 8%
104Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1024
Augmentations
Outputs per training example: 2
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%