FRC 2022 Image Dataset
Versions
V2 with additional photos taken during 3-12 competition - did NOT filter out null images
v10
Mar 14, 2022
V1 with additional photos taken during 3-12 competition
v9
Mar 14, 2022
V2 With Video Taken at LHS Sampled Every 3.9s -trained from scratch FAST-
v8
Feb 25, 2022
V1 With Video Taken at LHS Sampled Every 3.9s -trained from scratch-
v7
Feb 25, 2022
V3 With Photos From LHS Taken 2-23 -this time with 50-40-30 as initial split-
v6
Feb 25, 2022
V2 With Photos From LHS Taken 2-23 -this time with 60-30-10 instead of 70-20-10 as initial split-
v5
Feb 25, 2022
V1 With Photos From LHS Taken 2-23
v4
Feb 25, 2022
Test Version for Michael to use with Colab for testing.
v3
Jan 13, 2022
Test Version for Michael to Use with Colab
v2
Jan 13, 2022
testAnnotations
v1
Jan 13, 2022
v4
V1 With Photos From LHS Taken 2-23
Generated on Feb 25, 2022
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
706 Total Images
View All Images
Dataset Split
Train Set 93%
660Images
Valid Set 4%
29Images
Test Set 2%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 1000x1000
Tile: 2 rows x 3 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 5
Rotation: Between -5° and +5°
Blur: Up to 0.5px
Noise: Up to 1% of pixels
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