Dataset Versions
Versions
2024-11-15 5:01pm
v9
· 6 days ago
2024-11-15 4:52pm
v8
· 6 days ago
2024-11-13 11:03am
v7
· 8 days ago
2024-11-08 4:09pm
v6
· 13 days ago
2024-10-30 11:13am
v5
· 22 days ago
2024-10-25 9:56am
v4
· a month ago
2024-10-25 9:40am
v3
· a month ago
2024-10-23 3:43pm
v2
· a month ago
2024-10-23 3:38pm
v1
· a month ago
v3
2024-10-25 9:40am
Generated on Oct 25, 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.
820 Total Images
View All ImagesDataset Split
Train Set 91%
750Images
Valid Set 5%
39Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 1.22% of pixels