Dataset Versions
Versions
2024-09-02 5:47am
v10
· 2 months ago
2024-09-01 9:54pm
v9
· 2 months ago
2024-09-01 9:33pm
v8
· 2 months ago
2024-09-01 3:50pm
v6
· 2 months ago
2024-09-01 3:43pm
v5
· 2 months ago
2024-09-01 12:40pm
v4
· 2 months ago
2024-08-30 2:26pm
v3
· 2 months ago
2024-08-30 2:24pm
v2
· 2 months ago
2024-08-30 2:03pm
v1
· 2 months ago
v8
2024-09-01 9:33pm
Generated on Sep 1, 2024
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.
10667 Total Images
View All Images
Dataset Split
Train Set 88%
9341Images
Valid Set 8%
872Images
Test Set 4%
454Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Filter Null: Require at least 99% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Hue: Between -21° and +21°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 0.1% of pixels