Dataset Versions
Versions
YOLOv8 Version 4 100 Epoch
v7
· 5 months ago
YOLOV8 Version V3
v5
· 5 months ago
Behavioral Dataset V4 First Checkpoint YOLONas
v4
· 6 months ago
Behavioral Dataset V4 YOLOnas Augmented for Second stage training
v3
· 6 months ago
Behavioral Dataset V4 Non Augmented
v2
· 6 months ago
Behavioral Dataset V4
v1
· 6 months ago
v3
Behavioral Dataset V4 YOLOnas Augmented for Second stage training
Generated on Jun 4, 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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5097 Total Images
View All Images
Dataset Split
Train Set 92%
4695Images
Valid Set 5%
269Images
Test Set 3%
133Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 5
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%