Dataset Versions
Versions
2022-10-09 1:39pm
v9
· 2 years ago
2022-10-09 8:02am
v8
· 2 years ago
2022-10-09 3:11am
v7
· 2 years ago
2022-09-21 4:01pm
v6
· 2 years ago
2022-09-19 10:25pm
v5
· 2 years ago
2022-09-19 5:44pm
v4
· 2 years ago
2022-09-19 5:18pm
v3
· 2 years ago
2022-09-18 5:54pm
v2
· 2 years ago
2022-09-17 5:05pm
v1
· 2 years ago
v9
2022-10-09 1:39pm
Generated on Oct 9, 2022
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.
722 Total Images
View All Images
Dataset Split
Train Set 89%
642Images
Valid Set 7%
49Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x720
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Blur: Up to 10px
Noise: Up to 3% of pixels