Dataset Versions
Versions
2024-05-31 9:31pm
v10
· 6 months ago
test with roboflow after updating annotations
v7
· 6 months ago
2024-05-31 8:30am
v6
· 6 months ago
2024-05-31 7:20am
v5
· 6 months ago
2024-05-29 3:00pm
v4
· 6 months ago
2024-05-29 10:29am
v3
· 6 months ago
2024-05-29 10:03am
v2
· 6 months ago
2024-05-28 5:37pm
v1
· 6 months ago
v6
2024-05-31 8:30am
Generated on May 31, 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.
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2017 Total Images
View All Images
Dataset Split
Train Set 86%
1725Images
Valid Set 9%
172Images
Test Set 6%
120Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels