Dataset Versions
Versions
2024-12-02 3:39pm
v12
· 11 hours ago
2024-11-27 8:58pm
v11
· 5 days ago
2024-11-27 2:06pm
v10
· 6 days ago
2024-11-26 12:42pm
v8
· 7 days ago
2024-11-24 3:55pm
v7
· 8 days ago
occluded_hand_included_version
v5
· 12 days ago
occluded_version
v4
· 13 days ago
Basic_Augment
v2
· 23 days ago
Basic
v1
· a month ago
v2
Basic_Augment
Generated on Nov 10, 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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4800 Total Images
View All Images
Dataset Split
Train Set 88%
4200Images
Valid Set 8%
400Images
Test Set 4%
200Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 25-85% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 45% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Cutout: 2 boxes with 30% size each