Datasets:
Path stringlengths 17 33 | Object_name stringclasses 100 values | Object_id int64 1 100 | Category stringclasses 10 values | EV_offset stringclasses 17 values | EV_idx int64 -4 17 | Lux int64 10 1k | Shutter_speed stringclasses 29 values | ISO int64 100 6.4k | F-Number float64 4.5 22 | Num_objects int64 2 5 |
|---|---|---|---|---|---|---|---|---|---|---|
1_cup/10/-5/9_0_2.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/8 | 100 | 11 | 3 |
1_cup/10/-5/9_1_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/8 | 200 | 16 | 3 |
1_cup/10/-5/9_2_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/8 | 400 | 22 | 3 |
1_cup/10/-5/6_1_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/60 | 200 | 5.6 | 3 |
1_cup/10/-5/3_4_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/500 | 1,600 | 5.6 | 3 |
1_cup/10/-5/3_5_3.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/500 | 3,200 | 8 | 3 |
1_cup/10/-5/10_0_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/4 | 100 | 16 | 3 |
1_cup/10/-5/7_0_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/30 | 100 | 5.6 | 3 |
1_cup/10/-5/7_3_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/30 | 800 | 16 | 3 |
1_cup/10/-5/7_4_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/30 | 1,600 | 22 | 3 |
1_cup/10/-5/4_5_2.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/250 | 3,200 | 11 | 3 |
1_cup/10/-5/4_6_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/250 | 6,400 | 16 | 3 |
1_cup/10/-5/8_0_3.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/15 | 100 | 8 | 3 |
1_cup/10/-5/8_2_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/15 | 400 | 16 | 3 |
1_cup/10/-5/8_3_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/15 | 800 | 22 | 3 |
1_cup/10/-5/5_2_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/125 | 400 | 5.6 | 3 |
1_cup/10/-5/5_6_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/125 | 6,400 | 22 | 3 |
1_cup/10/-5/2_5_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/1000 | 3,200 | 5.6 | 3 |
1_cup/10/-4/9_0_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/8 | 100 | 8 | 3 |
1_cup/10/-4/9_2_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/8 | 400 | 16 | 3 |
1_cup/10/-4/9_3_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/8 | 800 | 22 | 3 |
1_cup/10/-4/6_2_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 400 | 5.6 | 3 |
1_cup/10/-4/6_4_2.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 1,600 | 11 | 3 |
1_cup/10/-4/6_5_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 3,200 | 16 | 3 |
1_cup/10/-4/6_6_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 6,400 | 22 | 3 |
1_cup/10/-4/3_5_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/500 | 3,200 | 5.6 | 3 |
1_cup/10/-4/3_6_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/500 | 6,400 | 8 | 3 |
1_cup/10/-4/10_1_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/4 | 200 | 16 | 3 |
1_cup/10/-4/10_2_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/4 | 400 | 22 | 3 |
1_cup/10/-4/4_5_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/250 | 3,200 | 8 | 3 |
1_cup/10/-4/8_0_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/15 | 100 | 5.6 | 3 |
1_cup/10/-4/8_1_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/15 | 200 | 8 | 3 |
1_cup/10/-4/8_3_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/15 | 800 | 16 | 3 |
1_cup/10/-4/5_3_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/125 | 800 | 5.6 | 3 |
1_cup/10/-4/5_5_2.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/125 | 3,200 | 11 | 3 |
1_cup/10/-4/5_6_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/125 | 6,400 | 16 | 3 |
1_cup/10/-4/12_0_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1 | 100 | 22 | 3 |
1_cup/10/-4/11_0_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 0.5 | 100 | 16 | 3 |
1_cup/10/-4/11_1_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 0.5 | 200 | 22 | 3 |
1_cup/10/-3/9_0_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/8 | 100 | 5.6 | 3 |
1_cup/10/-3/9_1_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/8 | 200 | 8 | 3 |
1_cup/10/-3/9_3_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/8 | 800 | 16 | 3 |
1_cup/10/-3/6_4_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/60 | 1,600 | 8 | 3 |
1_cup/10/-3/6_5_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/60 | 3,200 | 11 | 3 |
1_cup/10/-3/6_6_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/60 | 6,400 | 16 | 3 |
1_cup/10/-3/3_6_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/500 | 6,400 | 5.6 | 3 |
1_cup/10/-3/10_0_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 100 | 8 | 3 |
1_cup/10/-3/10_1_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 200 | 11 | 3 |
1_cup/10/-3/10_2_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 400 | 16 | 3 |
1_cup/10/-3/10_3_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 800 | 22 | 3 |
1_cup/10/-3/7_4_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/30 | 1,600 | 11 | 3 |
1_cup/10/-3/7_6_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/30 | 6,400 | 22 | 3 |
1_cup/10/-3/4_5_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/250 | 3,200 | 5.6 | 3 |
1_cup/10/-3/4_6_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/250 | 6,400 | 8 | 3 |
1_cup/10/-3/8_1_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 200 | 5.6 | 3 |
1_cup/10/-3/8_2_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 400 | 8 | 3 |
1_cup/10/-3/8_3_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 800 | 11 | 3 |
1_cup/10/-3/8_5_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 3,200 | 22 | 3 |
1_cup/10/-3/5_4_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/125 | 1,600 | 5.6 | 3 |
1_cup/10/-3/5_5_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/125 | 3,200 | 8 | 3 |
1_cup/10/-3/13_0_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 2 | 100 | 22 | 3 |
1_cup/10/-3/12_0_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1 | 100 | 16 | 3 |
1_cup/10/-3/12_1_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1 | 200 | 22 | 3 |
1_cup/10/-3/11_2_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 0.5 | 400 | 22 | 3 |
1_cup/10/-2/9_4_1.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/8 | 1,600 | 16 | 3 |
1_cup/10/-2/6_4_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/60 | 1,600 | 5.6 | 3 |
1_cup/10/-2/6_5_3.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/60 | 3,200 | 8 | 3 |
1_cup/10/-2/6_6_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/60 | 6,400 | 11 | 3 |
1_cup/10/-2/10_0_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/4 | 100 | 5.6 | 3 |
1_cup/10/-2/10_4_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/4 | 1,600 | 22 | 3 |
1_cup/10/-2/7_5_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/30 | 3,200 | 11 | 3 |
1_cup/10/-2/7_6_1.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/30 | 6,400 | 16 | 3 |
1_cup/10/-2/4_6_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/250 | 6,400 | 5.6 | 3 |
1_cup/10/-2/8_2_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/15 | 400 | 5.6 | 3 |
1_cup/10/-2/8_6_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/15 | 6,400 | 22 | 3 |
1_cup/10/-2/14_0_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 4 | 100 | 22 | 3 |
1_cup/10/-2/12_0_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1 | 100 | 11 | 3 |
1_cup/10/-2/12_2_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1 | 400 | 22 | 3 |
1_cup/10/-2/11_0_3.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 0.5 | 100 | 8 | 3 |
1_cup/10/-2/11_1_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 0.5 | 200 | 11 | 3 |
1_cup/10/-2/11_2_1.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 0.5 | 400 | 16 | 3 |
1_cup/10/-1/9_2_4.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 400 | 5.6 | 3 |
1_cup/10/-1/9_3_3.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 800 | 8 | 3 |
1_cup/10/-1/9_4_2.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 1,600 | 11 | 3 |
1_cup/10/-1/9_5_1.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 3,200 | 16 | 3 |
1_cup/10/-1/9_6_0.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 6,400 | 22 | 3 |
1_cup/10/-1/7_5_3.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/30 | 3,200 | 8 | 3 |
1_cup/10/-1/8_4_3.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/15 | 1,600 | 8 | 3 |
1_cup/10/-1/8_5_2.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/15 | 3,200 | 11 | 3 |
1_cup/10/-1/8_6_1.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/15 | 6,400 | 16 | 3 |
1_cup/10/-1/5_6_4.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/125 | 6,400 | 5.6 | 3 |
1_cup/10/-1/12_2_1.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1 | 400 | 16 | 3 |
1_cup/10/-1/11_4_0.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 0.5 | 1,600 | 22 | 3 |
1_cup/10/0/9_4_3.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/8 | 1,600 | 8 | 3 |
1_cup/10/0/9_5_2.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/8 | 3,200 | 11 | 3 |
1_cup/10/0/10_2_4.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 400 | 5.6 | 3 |
1_cup/10/0/10_3_3.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 800 | 8 | 3 |
1_cup/10/0/10_4_2.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 1,600 | 11 | 3 |
1_cup/10/0/10_5_1.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 3,200 | 16 | 3 |
1_cup/10/0/10_6_0.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 6,400 | 22 | 3 |
End of preview. Expand
in Data Studio
SNAP Benchmark
Code and annotations: [https://github.com/ykotseruba/SNAP]
SNAP (stands for Shutter speed, ISO seNsitivity, and APerture) is a new benchmark consisting of images of objects taken under controlled lighting conditions and with densely sampled camera settings.
This benchmark allows testing the effects of capture bias, which includes camera settings and illumination, on performance of vision algorithms.
SNAP contains 37,558 images of 100 scenes (10 scenes per 10 object categories) uniformly distributed across sensor settings and annotations for the following tasks:
- image classification;
- object detection;
- instance segmentation;
- visual question answering (VQA).
- Curated by: Iuliia Kotseruba
- Shared by: Iuliia Kotseruba
- Language(s) (NLP): English
- License: CC-by-4.0
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