Dataset Versions
Versions
2023-03-28 4:38pm
v9
· 2 years ago
2023-03-25 12:52am
v8
· 2 years ago
2023-03-25 12:47am
v7
· 2 years ago
2023-03-22 10:43pm
v6
· 2 years ago
2023-03-19 4:01pm
v5
· 2 years ago
2023-01-27 1:33am
v4
· 2 years ago
2023-01-27 1:24am
v3
· 2 years ago
2023-01-26 10:23pm
v2
· 2 years ago
2023-01-20 11:37pm
v1
· 2 years ago
v1
2023-01-20 11:37pm
Generated on Jan 20, 2023
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.
111 Total Images
View All Images
Dataset Split
Train Set 86%
96Images
Valid Set 10%
11Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -25% and +25%