Dataset Versions
Versions
2024-05-21 8:35am
v12
· 7 months ago
2024-05-21 8:06am
v11
· 7 months ago
2024-05-21 7:42am
v10
· 7 months ago
2024-02-26 8:28am
v7
· 10 months ago
2023-11-30 5:54pm
v6
· a year ago
2023-11-30 5:52pm
v5
· a year ago
2023-11-30 5:51pm
v4
· a year ago
2023-11-30 5:42pm
v3
· a year ago
2023-11-05 3:32pm
v2
· a year ago
2023-10-29 3:50pm
v1
· a year ago
v5
2023-11-30 5:52pm
Generated on Nov 30, 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.
35 Total Images
View All Images
Dataset Split
Train Set 86%
30Images
Valid Set 9%
3Images
Test Set 6%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 6% of pixels
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels