Dataset Versions
Versions
2024-02-22 5:28pm
v10
· 9 months ago
2024-02-14 4:23pm
v9
· 9 months ago
2024-02-09 7:52pm
v8
· 9 months ago
2024-02-07 4:36pm
v7
· 9 months ago
2024-02-07 4:15pm
v6
· 9 months ago
2024-01-24 11:37am
v5
· 10 months ago
2024-01-22 9:37am
v4
· 10 months ago
2024-01-19 4:16pm
v3
· 10 months ago
2024-01-16 7:19pm
v2
· 10 months ago
2024-01-16 4:54pm
v1
· 10 months ago
v5
2024-01-24 11:37am
Generated on Jan 24, 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.
1592 Total Images
View All Images
Dataset Split
Train Set 89%
1416Images
Valid Set 7%
112Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 1 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 25% of images
Hue: Between -20° and +20°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.93% of pixels