Dataset Versions
Versions
No resizing- no agumentations
v11
· 5 months ago
2024-06-04 11:10am
v10
· 5 months ago
Not In Use
v9
· 5 months ago
2024-06-02 7:55pm
v8
· 5 months ago
2024-05-31 4:36pm
v7
· 6 months ago
2024-05-30 5:42pm
v6
· 6 months ago
2024-05-30 4:41pm
v5
· 6 months ago
Latest
v4
· 6 months ago
22-05-2024
v3
· 6 months ago
2024-05-21 6:10pm
v2
· 6 months ago
2024-05-21 5:15pm
v1
· 6 months ago
v4
Latest
Generated on May 22, 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.
66 Total Images
View All Images
Dataset Split
Train Set 91%
60Images
Valid Set 6%
4Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom