Dataset Versions
Versions
2024-01-21 4:13pm
v13
· 10 months ago
2024-01-20 12:16pm
v12
· 10 months ago
2024-01-12 5:02pm
v11
· 10 months ago
2023-12-29 6:15pm
v10
· 10 months ago
2023-12-28 8:01pm
v9
· 10 months ago
2023-12-27 7:04pm
v8
· 10 months ago
2023-12-26 12:43am
v7
· a year ago
2023-12-26 12:40am
v6
· a year ago
2023-09-09 8:33pm
v5
· a year ago
2023-09-09 8:33pm
v4
· a year ago
2023-09-09 8:33pm
v2
· a year ago
v5
2023-09-09 8:33pm
Generated on Sep 9, 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.
942 Total Images
View All Images
Dataset Split
Train Set 80%
750Images
Valid Set 10%
96Images
Test Set 10%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±7° Vertical
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal