Qatar Riyal 200 Image Dataset
Versions
2023-08-05 2:15pm
v10
Aug 5, 2023
2023-08-05 2:15pm
v9
Aug 5, 2023
2023-08-05 2:12pm
v8
Aug 5, 2023
2023-08-05 2:11pm
v7
Aug 5, 2023
2023-08-05 2:10pm
v6
Aug 5, 2023
2023-08-05 2:08pm
v5
Aug 5, 2023
2023-08-05 2:06pm
v4
Aug 5, 2023
2023-08-05 2:05pm
v3
Aug 5, 2023
2023-08-05 2:02pm
v2
Aug 5, 2023
2023-08-05 2:02pm
v1
Aug 5, 2023
v10
2023-08-05 2:15pm
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.
400 Total Images
View All Images
Dataset Split
Train Set 100%
400Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 2
Rotation: Between -45° and +45°
Bounding Box: Shear: ±40° Horizontal, ±20° Vertical
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