final_cats Image Dataset
Versions
2021-08-31_nyaste
v9
Aug 31, 2021
2021-08-31 1:38pm
v8
Aug 31, 2021
2021-08-28_improved_dataset
v7
Aug 28, 2021
2021-08-24 6:28am
v6
Aug 24, 2021
2021-08-23 all_annotated_v-2
v5
Aug 23, 2021
2021-08-23_all_annotated
v4
Aug 23, 2021
2021-08-23 8:20pm
v3
Aug 23, 2021
2021-08-23 7:56am
v2
Aug 23, 2021
2021-08-21 1:32pm
v1
Aug 21, 2021
v5
2021-08-23 all_annotated_v-2
Generated on Aug 23, 2021
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
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2768 Total Images
View All Images
Dataset Split
Train Set 87%
2421Images
Valid Set 11%
296Images
Test Set 2%
51Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 4 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -5% and +5%
Exposure: Between -6% and +6%
Blur: Up to 1px
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