Object dog poo health Image Dataset
v3
2021-10-07 10:54pm
Generated on Oct 8, 2021
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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140 Total Images
View All Images
Dataset Split
Train Set 90%
126Images
Valid Set 6%
8Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -32° and +32°
Grayscale: Apply to 73% of images
Saturation: Between -22% and +22%
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 35% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±23° Vertical
Bounding Box: Brightness: Between -24% and +24%
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