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dog-breed-detection-f0is9/4 (latest)
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Dog Breed Detection
Object Detection
Overview
Images
5608
Dataset
3
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-12-03 3:28am
v11
·
a year ago
2023-12-03 3:04am
v9
·
a year ago
2023-11-12 3:08am
v4
·
a year ago
v9
2023-12-03 3:04am
Generated on Dec 2, 2023
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Dataset
Popular Download Formats
YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
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
Choose another format.
13464
Total Images
View All Images
Dataset Split
Train Set
88%
11784
Images
Valid Set
8%
1125
Images
Test Set
4%
555
Images
Preprocessing
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Rotation:
Between -20° and +20°
Shear:
±15° Horizontal, ±15° Vertical
Grayscale:
Apply to 50% of images
Hue:
Between -95° and +95°
Noise:
Up to 5% of pixels
Mosaic:
Applied
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