Dataset Versions
Versions
2024-09-11 1:22pm
v9
· 3 months ago
2024-09-11 12:42pm
v8
· 3 months ago
2024-09-11 11:15am
v7
· 3 months ago
2024-09-11 11:09am
v6
· 3 months ago
2024-08-29 5:10am
v5
· 4 months ago
2024-08-13 7:21am
v4
· 4 months ago
2024-08-11 1:49pm
v3
· 4 months ago
2024-08-09 10:33pm
v2
· 4 months ago
2024-08-09 10:32pm
v1
· 4 months ago
v4
2024-08-13 7:21am
Generated on Aug 13, 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.
1190 Total Images
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Dataset Split
Train Set 87%
1041Images
Valid Set 8%
100Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 37-90% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels