Dataset Versions
Versions
2023-11-28 12:32pm
v13
· a year ago
2023-07-08 10:52pm
v12
· a year ago
2023-07-08 10:37pm
v11
· a year ago
2023-07-06 11:03pm
v10
· a year ago
2023-07-06 9:03pm
v9
· a year ago
2023-07-06 8:24pm
v8
· a year ago
1024x576
v7
· a year ago
1536-2
v6
· a year ago
1536
v5
· a year ago
2023-06-27 5:15pm
v4
· a year ago
2023-06-27 9:51am
v2
· a year ago
2023-06-27 9:39am
v1
· a year ago
v9
2023-07-06 9:03pm
Generated on Jul 7, 2023
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.
1170 Total Images
View All Images
Dataset Split
Train Set 83%
975Images
Valid Set 10%
119Images
Test Set 6%
76Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±8° Horizontal, ±8° Vertical
Grayscale: Apply to 5% of images
Hue: Between -8° and +8°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels