Dataset Versions
Versions
2024-08-15 6:32am
v30
· 4 months ago
2024-08-08 5:58am
v29
· 5 months ago
2024-08-08 3:08am
v28
· 5 months ago
2024-08-08 3:04am
v27
· 5 months ago
2024-08-08 3:02am
v26
· 5 months ago
2024-07-02 7:54am
v23
· 6 months ago
2024-06-25 12:46am
v22
· 6 months ago
2024-06-24 12:47am
v21
· 6 months ago
2024-06-18 12:59am
v20
· 6 months ago
2024-06-17 1:34am
v19
· 6 months ago
v23
2024-07-02 7:54am
Generated on Jul 2, 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.
548 Total Images
View All Images
Dataset Split
Train Set 88%
480Images
Valid Set 9%
48Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x480
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each