FELARS_v2 Image Dataset
v1
felars_augmented_dataset_v2
Generated on Dec 5, 2021
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.
237 Total Images
View All Images
Dataset Split
Train Set 87%
207Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -19° and +19°
Shear: ±22° Horizontal, ±22° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 2% of pixels
Similar Projects
cube
1785 images
numbers
3614 images
1-2-3-4-5-6-7-8-9-10-11-12-cyRz
904 images
Landing
558 images
0-1-2-3-4-5-6-7-8-9-10-11-12
919 images