Dataset Versions
Versions
2024-10-22 3:41pm
v10
· 17 days ago
2024-05-23 6:15pm
v9
· 6 months ago
2024-05-23 10:11am
v8
· 6 months ago
2024-05-23 9:59am
v7
· 6 months ago
2024-05-22 10:12pm
v6
· 6 months ago
2024-05-21 11:28pm
v5
· 6 months ago
2024-05-21 10:51pm
v4
· 6 months ago
2024-05-21 10:34pm
v3
· 6 months ago
2024-05-20 11:53pm
v2
· 6 months ago
2024-05-20 11:40pm
v1
· 6 months ago
v10
2024-10-22 3:41pm
Generated on Oct 22, 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.
411 Total Images
View All Images
Dataset Split
Train Set 88%
360Images
Valid Set 9%
35Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Hue: Between -40° and +40°
Brightness: Between -24% and +24%
Blur: Up to 1.6px
Noise: Up to 0.93% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Blur: Up to 0.5px