Dataset Versions
Versions
2023-06-22 2:42pm
v12
· a year ago
2023-06-22 1:08pm
v11
· a year ago
2023-06-21 10:10pm
v10
· a year ago
2023-06-20 1:41pm
v9
· a year ago
2023-06-20 1:38pm
v8
· a year ago
2023-06-19 3:23pm
v7
· a year ago
2023-06-17 3:52pm
v6
· a year ago
2023-06-17 3:28pm
v5
· a year ago
2023-06-17 2:07pm
v4
· a year ago
v12
2023-06-22 2:42pm
Generated on Jun 22, 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
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1664 Total Images
View All Images
Dataset Split
Train Set 87%
1449Images
Valid Set 9%
145Images
Test Set 4%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Blur: Up to 2.5px
Noise: Up to 5% of pixels