Dataset Versions
Versions
2024-08-12 4:04pm
v9
· 3 months ago
2024-08-09 6:21am
v8
· 3 months ago
2024-08-09 3:59am
v7
· 3 months ago
2024-08-07 7:32am
v6
· 3 months ago
2024-08-07 5:37am
v5
· 3 months ago
2024-08-06 3:42am
v4
· 3 months ago
2024-08-05 4:35pm
v3
· 3 months ago
2024-08-05 4:24pm
v2
· 3 months ago
2024-07-31 5:53pm
v1
· 3 months ago
v2
2024-08-05 4:24pm
Generated on Aug 5, 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.
3428 Total Images
View All Images
Dataset Split
Train Set 86%
2964Images
Valid Set 9%
296Images
Test Set 5%
168Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 38-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -22% and +22%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.26% of pixels