Dataset Versions
Versions
2023-05-31 12:39pm
v9
· a year ago
2023-05-31 10:35am
v8
· a year ago
2023-05-29 10:26pm
v7
· a year ago
2023-05-29 6:36pm
v6
· a year ago
2023-05-25 11:57pm
v5
· 2 years ago
2023-05-25 7:11am
v4
· 2 years ago
2023-05-22 11:26am
v3
· 2 years ago
2023-05-20 11:36am
v2
· 2 years ago
2023-05-20 10:58am
v1
· 2 years ago
v4
2023-05-25 7:11am
Generated on May 24, 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.
492 Total Images
View All Images
Dataset Split
Train Set 92%
453Images
Valid Set 8%
39Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 2048x2048
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 0.75px
Noise: Up to 1% of pixels