Dataset Versions
Versions
2024-11-30 1:01am
v9
· 8 hours ago
2024-11-26 2:18am
v8
· 4 days ago
2024-11-26 1:23am
v7
· 4 days ago
2024-05-28 9:33pm
v6
· 6 months ago
2024-03-05 9:03pm
v5
· 9 months ago
2024-02-07 4:42pm
v4
· 10 months ago
2024-02-05 2:24am
v3
· 10 months ago
2024-01-25 9:38pm
v2
· 10 months ago
2024-01-22 10:55pm
v1
· 10 months ago
v2
2024-01-25 9:38pm
Generated on Jan 25, 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.
2620 Total Images
View All Images
Dataset Split
Train Set 89%
2325Images
Valid Set 7%
195Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Blur: Up to 1px
Noise: Up to 1.13% of pixels