Certis database Image Dataset
Versions
versie 12
v12
Feb 23, 2022
versie 11
v11
Feb 23, 2022
versie 10
v10
Feb 23, 2022
versie 9
v9
Feb 23, 2022
versie 8
v8
Feb 23, 2022
versie 7
v7
Feb 23, 2022
versie 6
v6
Feb 23, 2022
versie 5
v5
Feb 23, 2022
versie 4
v4
Feb 23, 2022
versie 3
v3
Feb 23, 2022
versie 2
v2
Feb 23, 2022
versie 1
v1
Feb 23, 2022
v11
versie 11
Generated on Feb 23, 2022
Popular Download Formats
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.
Other Formats
Choose another format.
63 Total Images
View All Images
Dataset Split
Train Set 86%
54Images
Valid Set 6%
4Images
Test Set 8%
5Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
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