Dataset Versions
Versions
2023-05-23 12:09pm
v11
· 2 years ago
2023-05-22 2:35pm
v10
· 2 years ago
2023-05-09 1:47pm
v9
· 2 years ago
2023-05-06 2:56pm
v8
· 2 years ago
2023-05-05 10:19am
v7
· 2 years ago
2023-05-05 10:02am
v6
· 2 years ago
2023-05-05 8:12am
v5
· 2 years ago
2023-05-05 6:18am
v4
· 2 years ago
2023-05-02 1:39pm
v3
· 2 years ago
2023-05-02 8:20am
v2
· 2 years ago
2023-04-30 4:22pm
v1
· 2 years ago
v4
2023-05-05 6:18am
Generated on May 4, 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.
594 Total Images
View All Images
Dataset Split
Train Set 77%
456Images
Valid Set 6%
38Images
Test Set 17%
100Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise