Dataset Versions
Versions
2024-10-03 1:22pm
v12
· 3 months ago
2024-10-02 7:15pm
v11
· 3 months ago
current version
v10
· 3 months ago
nochmal - aber mit augmentation
v9
· 3 months ago
manuell verbessertes dataset - no augmentation
v8
· 3 months ago
gleiches dataset - ohne augmentation
v7
· 3 months ago
dataset neu sortiert - augmentation crop
v6
· 3 months ago
gleiches dataset nochmal mit augmentation
v5
· 3 months ago
ausgebessertes dataset
v4
· 3 months ago
2024-09-28 9:33am
v3
· 3 months ago
2024-09-27 7:38pm
v2
· 3 months ago
2024-09-27 7:24pm
v1
· 3 months ago
v5
gleiches dataset nochmal mit augmentation
Generated on Sep 28, 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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967 Total Images
View All Images
Dataset Split
Train Set 83%
798Images
Valid Set 11%
105Images
Test Set 7%
64Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom