Oxford Pets Dataset
v3
aug
Generated on Nov 30, 2020
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
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13984 Total Images
View All Images
Dataset Split
Train Set 92%
12880Images
Valid Set 5%
736Images
Test Set 3%
368Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 1.25px
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