Dataset Versions
Versions
pigeon_flock_512x512black
v18
· a year ago
pigeon_flock_320x320black_v2
v17
· a year ago
pigeon_flock_320x320black
v16
· a year ago
pigeon_flock_640x640black
v15
· a year ago
Pigeon_Flocks_Final
v14
· a year ago
2023-10-08 3:25pm
v13
· a year ago
2023-10-08 3:24pm
v12
· a year ago
Pigeon_Flocks
v11
· a year ago
2023-10-06 11:27am
v10
· a year ago
2023-10-06 11:20am
v9
· a year ago
2023-09-10 8:10pm
v8
· a year ago
2023-09-09 9:41pm
v7
· a year ago
2023-09-09 9:05pm
v6
· a year ago
2023-09-09 9:03pm
v5
· a year ago
2023-09-08 1:40pm
v4
· a year ago
2023-03-31 11:52pm
v3
· 2 years ago
2023-03-27 5:11pm
v2
· 2 years ago
2023-03-27 4:48pm
v1
· 2 years ago
v7
2023-09-09 9:41pm
Generated on Sep 10, 2023
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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770 Total Images
View All Images
Dataset Split
Train Set 86%
660Images
Valid Set 9%
72Images
Test Set 5%
38Images
Preprocessing
Modify Classes: 4 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 3px
Noise: Up to 5% of pixels
Mosaic: Applied