synthetic license Dataset
Versions
2024-09-11 3:39pm
v9
· 8 days ago
2024-09-11 2:02pm
v8
· 8 days ago
2024-09-11 12:25pm
v7
· 8 days ago
2024-09-04 4:39am
v6
· 15 days ago
2024-09-04 4:38am
v5
· 15 days ago
2024-08-30 3:24pm
v4
· 20 days ago
2024-08-30 3:15pm
v3
· 20 days ago
2024-08-30 3:12pm
v2
· 20 days ago
2024-08-30 3:11pm
v1
· 20 days ago
v9
2024-09-11 3:39pm
Generated on Sep 11, 2024
Popular Download Formats
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.
1422 Total Images
View All Images
Dataset Split
Train Set 91%
1290Images
Valid Set 9%
132Images
Test Set %
0Images
Preprocessing
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -13% and +13%
Exposure: Between -12% and +12%
Blur: Up to 1.9px
Noise: Up to 0.42% of pixels