Dataset Versions
Versions
2024-04-17 11:38am
v9
· 7 months ago
2024-04-17 11:17am
v8
· 7 months ago
2024-04-15 3:57pm
v7
· 7 months ago
2024-03-13 10:18pm
v6
· 8 months ago
2024-03-12 2:19pm
v5
· 8 months ago
2024-03-12 11:23am
v4
· 8 months ago
2024-03-12 11:17am
v3
· 8 months ago
2024-03-12 10:45am
v2
· 8 months ago
2024-03-12 10:44am
v1
· 8 months ago
v3
2024-03-12 11:17am
Generated on Mar 12, 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.
44 Total Images
View All Images
Dataset Split
Train Set 89%
39Images
Valid Set 7%
3Images
Test Set 5%
2Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: Noise: Up to 0.58% of pixels