Dataset Versions
Versions
2022-10-30 9:45am
v9
· 2 years ago
2022-10-24 5:40pm
v8
· 2 years ago
2022-10-19 2:59pm
v7
· 2 years ago
2022-10-19 2:20pm
v6
· 2 years ago
2022-10-18 5:38pm
v5
· 2 years ago
2022-10-18 4:06pm
v4
· 2 years ago
2022-10-14 4:29am
v3
· 2 years ago
2022-10-10 4:21pm
v2
· 2 years ago
2022-10-10 3:57pm
v1
· 2 years ago
v3
2022-10-14 4:29am
Generated on Oct 14, 2022
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.
160 Total Images
View All Images
Dataset Split
Train Set 86%
138Images
Valid Set 8%
13Images
Test Set 6%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 960x540
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 57% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -105° and +105°
Brightness: Between -25% and +25%
Blur: Up to 3.75px
Noise: Up to 5% of pixels
Cutout: 9 boxes with 16% size each
Mosaic: Applied
Bounding Box: Exposure: Between -47% and +47%
Bounding Box: Noise: Up to 5% of pixels