Dog Detection Test Dataset
Versions
corp2
v18
· 2 years ago
1192 brightness
v17
· 2 years ago
2022-04-14 12:39am
v16
· 2 years ago
cutout
v14
· 2 years ago
noise
v13
· 2 years ago
blur
v11
· 2 years ago
exposure
v10
· 2 years ago
brightness
v9
· 2 years ago
saturation
v8
· 2 years ago
Grayscale
v7
· 2 years ago
hue
v6
· 2 years ago
shear
v5
· 2 years ago
crop
v4
· 2 years ago
flip
v3
· 2 years ago
rotate
v2
· 2 years ago
v17
1192 brightness
Generated on Apr 13, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1162 Total Images
View All Images
Dataset Split
Train Set 87%
1013Images
Valid Set 8%
98Images
Test Set 4%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Brightness: Between -45% and +45%
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