Dataset Versions
Versions
2024-11-07 2:52pm
v19
· 11 hours ago
2024-11-04 2:28pm
v18
· 3 days ago
2024-10-30 9:54pm
v17
· 8 days ago
2024-10-30 3:06pm
v16
· 8 days ago
2024-10-30 2:05pm
v15
· 8 days ago
2024-10-30 10:31am
v14
· 9 days ago
2024-10-29 4:30pm
v13
· 9 days ago
2024-10-29 2:47pm
v12
· 9 days ago
2024-10-29 2:45pm
v11
· 9 days ago
2024-10-29 2:13pm
v10
· 9 days ago
2024-10-29 11:53am
v9
· 10 days ago
2024-10-28 1:52pm
v8
· 10 days ago
2024-10-17 11:40am
v7
· 22 days ago
2024-09-02 8:30pm
v6
· 2 months ago
2024-08-30 8:56am
v5
· 2 months ago
2024-08-29 12:51pm
v4
· 2 months ago
2024-08-21 1:54pm
v3
· 3 months ago
2024-08-09 9:10am
v2
· 3 months ago
2024-08-09 8:06am
v1
· 3 months ago
v2
2024-08-09 9:10am
Generated on Aug 9, 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.
179 Total Images
View All Images
Dataset Split
Train Set 87%
156Images
Valid Set 9%
16Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 2048x2048
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -2° and +2°
Shear: ±10° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 1.2px