Dataset Versions
Versions
2023-10-30 11:36am
v12
· a year ago
2023-10-30 11:31am
v11
· a year ago
2023-10-30 11:26am
v10
· a year ago
2023-10-27 4:46pm
v9
· a year ago
2023-10-27 3:53pm
v8
· a year ago
2023-10-27 1:57pm
v7
· a year ago
2023-10-27 11:12am
v6
· a year ago
2023-10-27 9:50am
v5
· a year ago
2023-10-13 6:13pm
v4
· a year ago
2023-10-12 3:12pm
v3
· a year ago
v4
2023-10-13 6:13pm
Generated on Oct 13, 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.
485 Total Images
View All Images
Dataset Split
Train Set 92%
447Images
Valid Set 5%
25Images
Test Set 3%
13Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 80% Maximum Zoom
Rotation: Between -23° and +23°
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -58% and +58%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 9.5px
Noise: Up to 5% of pixels
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