cat-and-dog-breeds Dataset
Versions
2024-09-16 9:07am
v20
· 11 hours ago
2024-09-15 5:51am
v19
· 2 days ago
2024-09-14 3:43am
v15
· 3 days ago
2024-09-08 7:19am
v14
· 9 days ago
2024-08-25 11:33am
v13
· 22 days ago
2024-08-19 4:30am
v12
· a month ago
2024-08-19 4:16am
v11
· a month ago
2024-08-15 1:19pm
v10
· a month ago
2024-08-11 5:15pm
v9
· a month ago
2024-07-21 6:41am
v8
· 2 months ago
2024-07-01 3:44am
v7
· 3 months ago
2024-06-30 4:03am
v4
· 3 months ago
2024-06-26 9:39am
v3
· 3 months ago
2024-06-17 8:53am
v2
· 3 months ago
2024-06-16 4:43pm
v1
· 3 months ago
v13
2024-08-25 11:33am
Generated on Aug 25, 2024
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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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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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7603 Total Images
View All Images
Dataset Split
Train Set 87%
6643Images
Valid Set 8%
640Images
Test Set 4%
320Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°