Dataset Versions
Versions
2023-05-03 7:46pm
v15
· 2 years ago
2023-01-21 4:41am
v14
· 2 years ago
2023-01-17 5:59am
v13
· 2 years ago
2023-01-15 5:06pm
v12
· 2 years ago
2023-01-14 12:58am
v11
· 2 years ago
2023-01-10 9:07pm
v6
· 2 years ago
2023-01-05 9:25pm
v5
· 2 years ago
2022-12-20 9:53pm
v3
· 2 years ago
2022-10-07 4:31pm
v1
· 2 years ago
v6
2023-01-10 9:07pm
Generated on Jan 10, 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.
1977 Total Images
View All Images
Dataset Split
Train Set 96%
1900Images
Valid Set 2%
48Images
Test Set 1%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 1440x1440
Augmentations
Outputs per training example: 10
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Hue: Between -180° and +180°
Saturation: Between -90% and +90%
Brightness: Between -65% and +65%
Exposure: Between -50% and +50%
Blur: Up to 2.25px
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -50% and +50%
Bounding Box: Exposure: Between -50% and +50%