Dataset Versions
Versions
2023-07-19 5:37pm
v10
· a year ago
2023-07-19 10:36am
v9
· a year ago
2023-06-16 4:37pm
v8
· a year ago
2023-06-14 12:35pm
v7
· a year ago
2023-06-14 12:34pm
v6
· a year ago
2023-06-12 10:09am
v5
· a year ago
2023-06-05 5:31pm
v4
· a year ago
2023-06-05 5:17pm
v3
· a year ago
2023-06-05 2:41pm
v1
· a year ago
v8
2023-06-16 4:37pm
Generated on Jun 16, 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.
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6989 Total Images
View All Images
Dataset Split
Train Set 43%
3027Images
Valid Set 3%
207Images
Test Set 54%
3755Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Noise: Up to 5% of pixels
Cutout: 10 boxes with 10% size each