Dataset Versions
Versions
2022-10-04 2:39am
v10
· 2 years ago
2022-06-16 7:26am
v9
· 2 years ago
2022-06-16 7:21am
v8
· 2 years ago
AngryDog_Augmented_dataset
v7
· 2 years ago
AngryDog_Fulldataset
v5
· 2 years ago
AngryDog_dataset_Rodrigo_tagged
v4
· 2 years ago
2022-06-16 2:08am
v3
· 2 years ago
dataset rodrigo
v2
· 2 years ago
v7
AngryDog_Augmented_dataset
Generated on Jun 16, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
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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2448 Total Images
View All Images
Dataset Split
Train Set 88%
2142Images
Valid Set 8%
203Images
Test Set 4%
103Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 15% of pixels