Dataset Versions
Versions
2023-10-02 2:37pm
v13
· a year ago
2023-09-09 3:26pm
v12
· a year ago
2023-09-07 3:11pm
v11
· a year ago
2023-09-07 2:16pm
v10
· a year ago
2023-09-07 12:24am
v9
· a year ago
2023-09-06 4:56pm
v8
· a year ago
2023-09-06 2:03pm
v7
· a year ago
2023-09-05 9:31pm
v6
· a year ago
2023-09-05 3:51pm
v5
· a year ago
2023-09-05 3:45pm
v4
· a year ago
2023-09-05 2:54pm
v3
· a year ago
2023-09-03 5:00pm
v2
· a year ago
2023-09-03 4:23pm
v1
· a year ago
v13
2023-10-02 2:37pm
Generated on Oct 2, 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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717 Total Images
View All Images
Dataset Split
Train Set 90%
642Images
Valid Set 7%
47Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Static Crop: 38-100% Horizontal Region, 0-100% Vertical Region
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 50% of images
Hue: Between -80° and +80°
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Blur: Up to 10px
Noise: Up to 15% of pixels
Cutout: 10 boxes with 10% size each