Dataset Versions
Versions
2024-02-04 6:43pm
v12
· 10 months ago
2024-02-04 6:43pm
v11
· 10 months ago
2024-01-27 4:57pm
v10
· 10 months ago
2024-01-08 11:30pm
v9
· 10 months ago
2023-12-29 10:47pm
v8
· a year ago
2023-12-29 8:33pm
v7
· a year ago
2023-12-29 8:02pm
v6
· a year ago
2023-11-22 12:55am
v4
· a year ago
2023-11-21 11:11pm
v3
· a year ago
2023-06-07 10:24pm
v2
· a year ago
v7
2023-12-29 8:33pm
Generated on Dec 29, 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.
556 Total Images
View All Images
Dataset Split
Train Set 92%
513Images
Valid Set 4%
23Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.97% of pixels