Dataset Versions
Versions
2024-09-06 1:49pm
v13
· 2 months ago
2024-09-06 1:48pm
v12
· 2 months ago
2024-09-06 1:47pm
v11
· 2 months ago
2024-09-06 1:46pm
v10
· 2 months ago
2024-09-06 1:45pm
v9
· 2 months ago
2024-09-06 1:44pm
v8
· 2 months ago
2024-09-06 1:44pm
v7
· 2 months ago
2024-09-06 1:44pm
v6
· 2 months ago
2024-09-06 1:32pm
v5
· 2 months ago
2024-09-06 1:32pm
v4
· 2 months ago
2024-09-06 1:32pm
v3
· 2 months ago
2024-09-06 1:30pm
v2
· 2 months ago
2024-09-06 1:30pm
v1
· 2 months ago
v13
2024-09-06 1:49pm
Generated on Sep 6, 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.
302 Total Images
View All ImagesDataset Split
Train Set 93%
282Images
Valid Set 7%
20Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
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%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each
Mosaic: Applied