Dataset Versions
Versions
2024-07-30 4:15am
v14
· 5 months ago
2024-04-23 6:25pm
v11
· 8 months ago
2023-12-03 5:04pm
v10
· a year ago
2023-11-17 7:14pm
v9
· a year ago
2023-10-12 10:04pm
v8
· a year ago
2023-10-11 1:11am
v7
· a year ago
2023-10-02 1:18pm
v5
· a year ago
2023-09-13 4:20pm
v3
· a year ago
2023-09-12 7:05pm
v2
· a year ago
2023-08-28 3:49pm
v1
· a year ago
v3
2023-09-13 4:20pm
Generated on Sep 13, 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.
3325 Total Images
View All Images
Dataset Split
Train Set 92%
3075Images
Valid Set 4%
125Images
Test Set 4%
125Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 5 rows x 5 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 80% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 10% of pixels
Mosaic: Applied