Dataset Versions
Versions
2024-07-17 10:26am
v10
· 4 months ago
2024-07-15 7:45am
v9
· 4 months ago
2024-07-12 5:25pm
v8
· 4 months ago
2024-07-10 2:38pm
v7
· 4 months ago
2024-07-10 1:18pm
v6
· 4 months ago
2024-07-10 8:50am
v5
· 4 months ago
2024-07-10 8:07am
v4
· 4 months ago
2024-07-09 3:31pm
v3
· 4 months ago
2024-07-09 3:25pm
v2
· 4 months ago
2024-07-09 3:21pm
v1
· 4 months ago
v1
2024-07-09 3:21pm
Generated on Jul 9, 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.
990 Total Images
View All Images
Dataset Split
Train Set 87%
861Images
Valid Set 8%
79Images
Test Set 5%
50Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Blur: Up to 2.5px