Dataset Versions
Versions
20
v20
· 7 months ago
19
v19
· 7 months ago
18
v18
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17
v17
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16
v16
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v15
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v14
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v13
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12
v12
· 7 months ago
11
v11
· 7 months ago
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v10
· 7 months ago
09
v9
· 7 months ago
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v8
· 7 months ago
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v7
· 7 months ago
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v6
· 7 months ago
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v5
· 7 months ago
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v4
· 7 months ago
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v3
· 7 months ago
02
v2
· 7 months ago
01
v1
· 7 months ago
v9
09
Generated on May 23, 2024
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.
90 Total Images
View All Images
Dataset Split
Train Set 100%
90Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels