Dataset Versions
Versions
2023-11-10 11:18am
v10
· a year ago
2023-11-10 11:03am
v8
· a year ago
2023-11-10 11:01am
v7
· a year ago
2023-11-10 10:57am
v6
· a year ago
2023-11-08 10:23am
v5
· a year ago
2023-11-05 12:17pm
v4
· a year ago
2023-11-05 8:59am
v3
· a year ago
2023-11-05 8:42am
v2
· a year ago
2023-11-05 12:19am
v1
· a year ago
v3
2023-11-05 8:59am
Generated on Nov 5, 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.
16020 Total Images
View All Images
Dataset Split
Train Set 87%
13944Images
Valid Set 9%
1516Images
Test Set 3%
560Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-70% Horizontal Region, 25-55% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Shear: ±34° Horizontal, ±27° Vertical
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°