Dataset Versions
Versions
2024-05-23 9:32am
v20
· 6 months ago
2024-05-22 8:39pm
v19
· 6 months ago
2024-05-22 8:05pm
v18
· 6 months ago
2024-05-22 5:01pm
v17
· 6 months ago
2024-05-22 10:25am
v16
· 6 months ago
2024-05-22 1:39pm
v15
· 6 months ago
2024-05-22 10:17am
v14
· 6 months ago
2024-05-22 12:47pm
v13
· 6 months ago
2024-05-22 10:16am
v12
· 6 months ago
2024-05-22 10:14am
v11
· 6 months ago
2024-05-22 9:48am
v10
· 6 months ago
2024-05-22 6:22am
v9
· 6 months ago
2024-05-21 11:16am
v8
· 6 months ago
2024-05-21 9:26am
v7
· 6 months ago
2024-05-16 8:25pm
v6
· 6 months ago
2024-05-16 12:50pm
v5
· 6 months ago
2024-05-16 11:14am
v4
· 6 months ago
2024-05-16 11:13am
v3
· 6 months ago
2024-05-16 10:13am
v2
· 6 months ago
2024-05-15 7:04pm
v1
· 6 months ago
v5
2024-05-16 12:50pm
Generated on May 16, 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.
1762 Total Images
View All Images
Dataset Split
Train Set 84%
1482Images
Valid Set 10%
174Images
Test Set 6%
106Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -20% and +20%
Blur: Up to 0.7px