ORIGINal Dataset
Versions
with flip- rotation-90- saturation- blur - noise
v9
· a month ago
with flip- rotation-90- saturation - blur
v8
· a month ago
with flip- rotation-90- and saturation
v7
· a month ago
with flip and rotation-90-
v4
· a month ago
with only flip
v3
· a month ago
2024-08-06 11:48am
v2
· a month ago
2024-08-05 6:18pm
v1
· 2 months ago
v9
with flip- rotation-90- saturation- blur - noise
Generated on Aug 7, 2024
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.
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12910 Total Images
View All Images
Dataset Split
Train Set 86%
11097Images
Valid Set 11%
1362Images
Test Set 3%
451Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 0.5% of pixels