Dataset Versions
Versions
2023-06-26 5:08pm
v9
· a year ago
2023-06-26 11:59am
v8
· a year ago
2023-06-26 10:52am
v7
· a year ago
2023-06-26 8:51am
v6
· a year ago
2023-06-26 7:58am
v5
· a year ago
2023-06-26 7:07am
v4
· a year ago
2023-05-06 5:11pm
v3
· 2 years ago
2023-05-06 4:44pm
v2
· 2 years ago
2023-05-06 2:24pm
v1
· 2 years ago
v8
2023-06-26 11:59am
Generated on Jun 26, 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.
639 Total Images
View All Images
Dataset Split
Train Set 87%
558Images
Valid Set 8%
52Images
Test Set 5%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 5% of images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -10° and +10°
Saturation: Between -18% and +18%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 8% of pixels
Bounding Box: Brightness: Between -40% and +40%