Dataset Versions
Versions
QAR10 - Rot45 BBox Shear H40V20
v10
· a year ago
QAR10 - Rot45 BBox Shear H10V40
v9
· a year ago
QAR10 - Rot45 BBox Shear H30V10
v8
· a year ago
QAR10 - BBox Shear H12V40
v7
· a year ago
QAR10 - BBox Shear H22V18
v6
· a year ago
QAR10 - Shear H16V30
v5
· a year ago
QAR10 - Rotation 45 BoundingB
v4
· a year ago
QAR10 - Rotation 35 BoundingB
v3
· a year ago
QAR10 - Rotation 45
v2
· a year ago
QAR10 - Original
v1
· 2 years ago
v10
QAR10 - Rot45 BBox Shear H40V20
Generated on Jul 27, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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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.
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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