Dataset Versions
Versions
2024-05-20 3:32pm
v11
· 6 months ago
2024-05-16 6:51pm
v10
· 6 months ago
2024-05-15 4:19pm
v9
· 6 months ago
2024-05-15 3:16pm
v8
· 6 months ago
2024-05-01 2:06pm
v7
· 7 months ago
2024-05-01 2:01pm
v6
· 7 months ago
2024-04-30 6:58pm
v5
· 7 months ago
2024-04-30 6:39pm
v4
· 7 months ago
2024-04-30 6:20pm
v2
· 7 months ago
2024-04-29 7:01am
v1
· 7 months ago
v6
2024-05-01 2:01pm
Generated on May 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.
81 Total Images
View All Images
Dataset Split
Train Set 85%
69Images
Valid Set 9%
7Images
Test Set 6%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±13° Horizontal, ±20° Vertical
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels