Dataset Versions
Versions
2024-07-28 4:44am
v11
· 7 months ago
2024-07-26 3:54am
v10
· 7 months ago
2024-07-26 3:46am
v9
· 7 months ago
2024-07-25 9:38am
v8
· 7 months ago
2024-07-25 7:03am
v7
· 7 months ago
2024-07-24 1:42pm
v6
· 7 months ago
2024-07-24 12:37pm
v5
· 7 months ago
2024-07-24 12:35pm
v4
· 7 months ago
2024-07-23 11:03am
v1
· 7 months ago
v6
2024-07-24 1:42pm
Generated on Jul 24, 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.
988 Total Images
View All Images
Dataset Split
Train Set 98%
972Images
Valid Set 1%
8Images
Test Set 1%
8Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Grayscale: Apply to 15% of images
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels
