Dataset Versions
Versions
2024-08-20 3:21pm
v9
· 3 months ago
2024-08-07 10:15am
v8
· 4 months ago
2024-08-05 5:11pm
v7
· 4 months ago
2024-08-05 9:38am
v6
· 4 months ago
2024-08-04 3:05pm
v5
· 4 months ago
2024-08-04 2:39pm
v4
· 4 months ago
2024-07-31 2:29pm
v3
· 4 months ago
2024-07-31 2:13pm
v2
· 4 months ago
2024-07-27 7:22am
v1
· 4 months ago
v3
2024-07-31 2:29pm
Generated on Jul 31, 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.
4033 Total Images
View All Images
Dataset Split
Train Set 89%
3586Images
Valid Set 11%
447Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±20° Horizontal, ±15° Vertical
Noise: Up to 0.46% of pixels
Cutout: 5 boxes with 18% size each