Dataset Versions
Versions
2024-02-05 11:10am
v11
· 9 months ago
2024-02-05 11:05am
v10
· 9 months ago
2024-02-05 11:04am
v9
· 9 months ago
2024-02-05 11:03am
v8
· 9 months ago
2024-02-05 11:01am
v7
· 9 months ago
2024-02-05 10:51am
v6
· 9 months ago
2024-02-05 10:34am
v5
· 9 months ago
2024-02-05 10:33am
v4
· 9 months ago
2024-02-05 10:33am
v3
· 9 months ago
2024-02-05 10:26am
v2
· 9 months ago
2024-02-04 1-28pm All
v1
· 9 months ago
v5
2024-02-05 10:34am
Generated on Feb 5, 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.
330 Total Images
View All Images
Dataset Split
Train Set 100%
330Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-62% Horizontal Region, 30-79% Vertical Region
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, ±12° Vertical
Grayscale: Apply to 100% of images
Blur: Up to 2px
Noise: Up to 10% of pixels
Cutout: 6 boxes with 15% size each
Mosaic: Applied