FYP 2.0 Image Dataset
Versions
2023-03-12 5:18pm
v8
· a year ago
Version 6 -Adjust Size
v7
· a year ago
Version 5 -No Augment
v6
· a year ago
Version 4 -Added Billboard
v5
· a year ago
Version 3 -Added Cloned
v4
· a year ago
Version 2 -Added Night-time
v3
· a year ago
Version 1 -Rebalanced
v2
· a year ago
Version 1 -Dashcam Images Only-
v1
· a year ago
v2
Version 1 -Rebalanced
Generated on Mar 8, 2023
Popular Download Formats
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.
734 Total Images
View All Images
Dataset Split
Train Set 92%
675Images
Valid Set 8%
59Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
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