Dataset Versions
Versions
2024-09-25 10:20am
v11
· 2 months ago
2024-09-24 3:08pm
v10
· 2 months ago
2024-09-19 4:28pm
v7
· 2 months ago
2024-09-18 8:37pm
v6
· 2 months ago
2024-09-17 7:07pm
v5
· 2 months ago
2024-09-16 11:20pm
v4
· 2 months ago
2024-09-16 10:23pm
v3
· 2 months ago
2024-08-12 11:08am
v2
· 3 months ago
2024-08-08 8:55am
v1
· 3 months ago
v11
2024-09-25 10:20am
Generated on Sep 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.
3960 Total Images
View All Images
Dataset Split
Train Set 83%
3306Images
Valid Set 8%
325Images
Test Set 8%
329Images
Preprocessing
Auto-Orient: Applied
Static Crop: 31-66% Horizontal Region, 23-58% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.54% of pixels