Dataset Versions
Versions
2024-06-05 10:52am
v34
· 5 months ago
2024-05-29 12:11pm
v32
· 6 months ago
2024-05-27 5:13pm
v31
· 6 months ago
2024-05-27 2:02pm
v30
· 6 months ago
2024-05-27 10:48am
v29
· 6 months ago
2024-05-22 11:11am
v28
· 6 months ago
2024-05-21 12:10pm
v27
· 6 months ago
2024-05-18 8:11pm
v26
· 6 months ago
2024-04-28 1:50am
v25
· 7 months ago
v34
2024-06-05 10:52am
Generated on Jun 5, 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
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2400 Total Images
View All Images
Dataset Split
Train Set 88%
2100Images
Valid Set 8%
200Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 400x400
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 1.56% of pixels
Cutout: 2 boxes with 22% size each