Dataset Versions
Versions
2024-10-06 2:08pm
v9
· 2 months ago
2024-10-05 8:12am
v8
· 2 months ago
2024-10-03 10:32am
v7
· 2 months ago
2024-09-18 6:07pm
v6
· 2 months ago
2024-09-18 8:47am
v5
· 2 months ago
2024-09-18 8:44am
v4
· 2 months ago
2024-09-18 4:27am
v3
· 2 months ago
2024-09-17 5:46pm
v2
· 2 months ago
2024-09-13 7:05pm
v1
· 2 months ago
v3
2024-09-18 4:27am
Generated on Sep 18, 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.
484 Total Images
View All Images
Dataset Split
Train Set 87%
423Images
Valid Set 8%
40Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 510x920
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -28% and +28%
Brightness: Between -20% and +20%
Blur: Up to 0.9px
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom