Dataset Versions
Versions
2023-03-15 10:41am
v9
· 2 years ago
2023-02-01 9:41pm
v8
· 2 years ago
2022-09-20 4:14am
v7
· 2 years ago
2022-09-19 11:52pm
v6
· 2 years ago
2022-09-19 11:18pm
v5
· 2 years ago
2022-09-19 7:45pm
v4
· 2 years ago
2022-09-19 4:02pm
v3
· 2 years ago
2022-09-18 1:19pm
v2
· 2 years ago
2022-09-18 11:30am
v1
· 2 years ago
v4
2022-09-19 7:45pm
Generated on Sep 19, 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.
245 Total Images
View All Images
Dataset Split
Train Set 87%
213Images
Valid Set 7%
18Images
Test Set 6%
14Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels