Onmyoji Demon Parade Image Dataset
Versions
2023-08-12 10:45am
v25
Aug 12, 2023
2023-08-09 9:02pm
v24
Aug 9, 2023
2023-08-07 3:54pm
v18
Aug 7, 2023
2023-08-06 10:59pm
v17
Aug 6, 2023
2023-08-06 3:32am
v16
Aug 5, 2023
2023-07-31 5:35am
v15
Jul 30, 2023
2023-07-18 1:52am
v14
Jul 17, 2023
2023-07-17 1:30am
v13
Jul 16, 2023
2023-07-16 6:07pm
v12
Jul 16, 2023
2023-07-13 1:10am
v7
Jul 12, 2023
2023-07-12 6:53pm
v6
Jul 12, 2023
2023-07-12 11:59am
v5
Jul 12, 2023
2023-07-12 1:12am
v4
Jul 11, 2023
v16
2023-08-06 3:32am
Generated on Aug 5, 2023
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.
3784 Total Images
View All Images
Dataset Split
Train Set 83%
3138Images
Valid Set 8%
311Images
Test Set 9%
335Images
Preprocessing
Resize: Fit within 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Saturation: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -2% and +2%
Bounding Box: Blur: Up to 0.5px
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