Dataset Versions
Versions
2024-07-29 6:56am
v11
· 4 months ago
2024-05-27 1:53pm
v10
· 6 months ago
2024-05-20 2:03pm
v8
· 6 months ago
2024-05-20 1:58pm
v7
· 6 months ago
2024-05-15 11:10am
v6
· 7 months ago
2024-05-13 4:39pm
v5
· 7 months ago
2024-04-26 4:05pm
v4
· 7 months ago
2024-04-26 2:20pm
v3
· 7 months ago
2024-04-17 11:50pm
v2
· 7 months ago
2024-04-17 11:42pm
v1
· 7 months ago
v8
2024-05-20 2:03pm
Generated on May 20, 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.
5456 Total Images
View All Images
Dataset Split
Train Set 82%
4476Images
Valid Set 11%
608Images
Test Set 7%
372Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 5% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1.49% of pixels