Dataset Versions
Versions
2023-07-24 11:39am
v13
· a year ago
2023-07-22 5:43pm
v12
· a year ago
2023-07-20 8:40am
v11
· a year ago
2023-07-18 11:20pm
v10
· a year ago
2023-07-18 1:38pm
v9
· a year ago
2023-07-18 2:14pm
v8
· a year ago
2023-07-18 10:32am
v7
· a year ago
2023-07-18 8:57am
v6
· a year ago
2023-07-17 12:08pm
v5
· a year ago
2023-07-12 12:27pm
v4
· a year ago
2023-07-10 9:25am
v3
· a year ago
2023-07-10 9:00am
v2
· a year ago
2023-07-06 11:18am
v1
· a year ago
v13
2023-07-24 11:39am
Generated on Jul 24, 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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8607 Total Images
View All Images
Dataset Split
Train Set 90%
7776Images
Valid Set 7%
560Images
Test Set 3%
271Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 8 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied